Lately 3D Gaussians splatting-based approach has been proposed to Feb 20, 2024 · A comprehensive survey of relevant papers from the past year in 3D Gaussian Splatting is presented, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. Gaussian splatting is an exciting new rendering technique that excels at creating lifelike, natural-looking 3D scenes and subjects - think of a 3D photograph. Despite its high rendering quality and speed at high resolutions, they both deteriorate drastically when rendered at lower resolutions or from far away camera position. 4 Improved Optimization Algorithms; 4. 3. May 28, 2024 · Same example using 256 Gaussian splats to fit the scene (generated by the author). Feb 20, 2024 · This evolution ranges from hand-crafted methods, through the era of deep learning, to more recent developments focused on Neural Radiance Fields (NeRFs) and 3D Gaussian Splatting (3DGS) representations. , 2010 Yousif et al. This innovative approach, characterized by the utilization of millions of learnable 3D Gaussians, represents a Jan 8, 2024 · 3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm of explicit radiance field and computer graphics. Feb 20, 2024 · A comprehensive survey of relevant papers from the past year in 3D Gaussian Splatting is presented, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. (b) 3D GS divides the image into multiple non-overlapping patches, i. Expand 10 May 27, 2024 · 文章链接：[2401. 5 3D Gaussian 3D Gaussian Splattingではものなどの特定の対象物ではなく風景などに対して、1080pの解像度でリアルタイムの表示速度を実現しながら、状態最先端の視覚品質を達成するための3つのキーとなる要素を導入しています。 3D Gaussian Splatting is a rasterization technique described in 3D Gaussian Splatting for Real-Time Radiance Field Rendering that allows real-time rendering of photorealistic scenes learned from small samples of images. The framework includes several key components, such as tracking and camera pose optimization, Gaussian shape verification and regularization, mapping and keyframing, and resource allocation and pruning. This system employs 3D Gaussian Splatting as its only representation for online 3D reconstruction using a single moving RGB or RGB-D camera. This evolution ranges from hand-crafted methods, through the era of deep learning, to more recent developments focused on Neural Radiance Fields (NeRFs) and 3D Gaussian Feb 20, 2024 · This survey meticulously benchmarks existing NeRF-based methods and discusses the integration of advanced techniques such as 3D Gaussian splatting (3DGS), large language models (LLM), and generative AIs, envisioning enhanced reconstruction efficiency, scene understanding, decision-making capabilities. (c) 3D GS replicates the Gaussians which cover several tiles, assigning each copy an identifier, i. 12: SLAM Methods Comparison on the ScanNet [67] Dataset – Surface Reconstruction and Localization Accuracy. 3D Half-Gaussian (3D-HGS) kernels are proposed, which can be used as a plug-and-play kernel for 3D Gaussian Splatting and demonstrate their capability to improve the performance of current 3D-GS related methods and achieve state-of-the-art rendering performance on various datasets without compromising rendering speed. In the leftmost column, we identify sub-categories of methods sharing specific properties, detailed in Sections 3. Scene stylization extends the work of neural style transfer to three spatial dimensions. It can effectively transform multi-view images into explicit 3D Gaussian representations through efficient training, and achieve real-time rendering of novel views. Create & view splats for free. Keywords 3D Gaussian Splatting, rendering, reconstruction, generation, perception, virtual humans, manipulation, computer graphics. For each method Apr 15, 2024 · 3D Gaussian as a New Era: A Survey. Gaussian in the Wild: 3D Gaussian Splatting for Unconstrained Image Collections; SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting; SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians; WE-GS: An In-the-wild Efficient 3D Gaussian Representation for Unconstrained Photo Collections Jan 8, 2024 · Abstract: 3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm of explicit radiance field and computer graphics. 3. Our goal through this survey is to acquaint new researchers with 3D Gaussian Splatting, serve as a valuable reference for seminal works in the field, and inspire future research Jan 8, 2024 · 3D Half-Gaussian (3D-HGS) kernels are proposed, which can be used as a plug-and-play kernel for 3D Gaussian Splatting and demonstrate their capability to improve the performance of current 3D-GS related methods and achieve state-of-the-art rendering performance on various datasets without compromising rendering speed. Learning-based methods have gained attention for their ability to directly estimate 3D shapes. 1 Data-efficient 3D GS; 4. , a tile ID. This survey aims to facilitate comparability by summarizing key statistics of different compression approaches in a tabulated format. 昨今3D分野で大注目を集めている3D gaussian splattingについて調べています． 2024/02/11に公開されたサーベイ論文「3D GAUSSIAN AS A NEW VISION ERA: A SURVEY」が，3D-GSの基本的な説明からその派生手法，応用手法に関してまとめている良いサーベイ論文でしたので，その内容を抜粋してまとめています． 2 days ago · 3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to become a mainstream method for 3D representations. Optical tactile sensors have become widespread in Jun 17, 2024 · We present a work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented Jan 1, 2024 · Recent studies in Radiance Fields have paved the robust way for novel view synthesis with their photorealistic rendering quality. 3 Photorealistic 3D GS; 4. This review paper focuses on state-of-the-art techniques for 3D reconstruction, including the generation of novel, unseen views. Mar 14, 2024 · This work proposes a novel method to supervise 3D Gaussian Splatting (3DGS) scenes using optical tactile sensors, and proposes a new loss function, variance weighted depth supervised loss, for training the 3DGS scene model. Our goal through this survey is to acquaint new researchers with 3D Gaussian Splatting, serve as a valuable reference for seminal works in the field, and inspire future research [38] GS-Octree: Octree-based 3D Gaussian Splatting for Robust Object-level 3D Reconstruction Under Strong Lighting 🧑🔬 作者 ：Jiaze Li, Zhengyu Wen, Luo Zhang, Jiangbei Hu, Fei Hou, Zhebin Zhang, Ying He 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). ATE visualized with a color bar. They are a class of Radiance Field methods (like NeRFs) but are simultaneously faster to train (at equal quality), faster to render, and reach better or similar quality. This innovative approach, characterized by the utilization of millions of learnable 3D Gaussians, represents a significant departure from mainstream neural radiance field approaches, which predominantly use implicit, coordinate-based models to map spatial Jan 31, 2024 · [NeRF坑浮沉记]3D Gaussian Splatting入门：如何表达几何. However, strong artifacts can be observed when changing the sampling rate, \\eg, by changing focal length or camera distance. For each method 3D Gaussian Splatting is a new method for novel-view synthesis of scenes captured with a set of photos or videos. In this work, we propose a novel method to supervise 3D Gaussian Splatting (3DGS) scenes using optical tactile sensors. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented A Survey on 3D Gaussian Splatting: Guikun Chen,Wenguan Wang: Abstract 3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm of explicit radiance field and computer graphics. We present a work-in-progress survey on 3D Gaussian Splatting[] compression methods, focusing on their statistical performance across various benchmarks. This technique has found diverse applications in a … Jan 8, 2024 · Fig. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented Nov 28, 2023 · 3D Gaussians have recently emerged as a highly efficient representation for 3D reconstruction and rendering. This article will break down how it works and what it means for the future of graphics. Notifications You must be signed in to change notification settings; Fork 20; Star 748. Jul 8, 2024 · The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel view synthesis. This innovative approach, characterized by the utilization of millions of learnable 3D Gaussians, represents a significant departure from mainstream neural radiance field approaches, which predominantly use implicit, coordinate-based models to with 3D Gaussian Splatting, serve as a valuable reference for seminal works in the field, and inspire future research directions, as discussed in our concluding section. 03890] A Survey on 3D Gaussian Splatting 3D Gaussian抛雪球( 3D GS )是近年来在显式辐射场和计算机图形学领域出现的一种变革性技术。 这种创新方法的特点是使用了数百万个3D高斯，这与神经辐射场( NeRF )方法显著不同，该方法主要使用隐式的基于坐标的模型 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). Jun 17, 2024 · We present a work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks. This article introduces 3D Gaussian Splatting (3D-GS), a novel technique for rendering and editing 3D scenes. e. The recent emergence of 3D Gaussian splatting (3DGS) leverages the advantage of explicit point-based representations, which significantly improves the rendering speed and quality of novel-view synthesis. . A Survey on 3D Gaussian Splatting. 1 Parameter Optimization; 3. Ben Fei, Jingyi Xu, Rui Zhang, Qingyuan Zhou, Weidong Yang, Ying He. The session begins with an introduction to 3D Gaussian Splating, outlining the process of transforming a set of images into a 3D Gaussian Splating experience. Awesome3DGS / 3D-Gaussian-Splatting-Papers Public. A vital challenge in this problem is to maintain the uniformity of the stylized appearance across a 探讨3D Gaussian Splatting技术在知乎专栏的应用和相关主题。 Feb 20, 2024 · TABLE 1: SLAM Systems Overview. We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. May 7, 2024 · We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented A Survey on 3D Gaussian Splatting Guikun Chen, Student Member, IEEE, and Wenguan Wang, Senior Member, IEEE Abstract—3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the explicit radiance field and computer graphics landscape. Jul 17, 2024 · Abstract. During low resolution or far away rendering, the pixel size of the image can fall below the Nyquist frequency compared Feb 11, 2024 · We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. Splatting 抛雪球法简介. 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks May 7, 2024 · 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). 3D Gaussian Splatting 渲染过程_gaussian splatting光线空间. Jan 8, 2024 · 3D Half-Gaussian (3D-HGS) kernels are proposed, which can be used as a plug-and-play kernel for 3D Gaussian Splatting and demonstrate their capability to improve the performance of current 3D-GS related methods and achieve state-of-the-art rendering performance on various datasets without compromising rendering speed. Section 3 presents a systematic review of the methods used to optimize 3D-GS, including considerations such as rendering efficiency, realism of the rendered images, costs, and the physics involved in 3D-GS. It uses the Gaussian distribution to figure out the scene’s properties, and then uses this information to create detailed and precise illustrations. 论文笔记《3D Gaussian Splatting for Real-Time Radiance Field Rendering》 3DGS综述以及对3DGS的理解：A Survey on 3D Gaussian Splatting 3D Gaussian splatting (3D GS) has recently emerged as a transformative technique in the explicit radiance field and computer graphics landscape. Ground truth trajectory in blue, estimated trajectory in orange. Over the past two decades, research in the field of Simultaneous Localization and Mapping (SLAM) has undergone a significant evolution, highlighting its critical role in enabling autonomous exploration of unknown environments. (d) By rendering the sorted Gaussians, we can obtain all pixels within Explore the 3DGS technology and its impact on rendering speeds for new view synthesis on Zhihu's column. Expand 10 Mar 5, 2024 · The structure of this survey is organized as follows: Section 2 provides an introduction to the background knowledge of 3D Gaussian Splatting. Unlike neural implicit representations like Neural Radiance Fields (NeRF) that represent a 3D scene with position and viewpoint-conditioned neural networks, 3D Gaussian Splatting utilizes a set of Gaussian ellipsoids to model the scene so that efficient rendering can be Feb 11, 2024 · 初めに. 2 Memory-efficient 3D GS; 4. , 2023 Dynamic Environments « Surveys Grisetti et al. pdf) Awesome 3D Gaussian Splatting Resources: A Repo with Several Resources; 3D Gaussian Splatting: The Overall Workflow. , 2015 Cadena et al State of The Art Survey on 3D Gaussian Splatting: Research Paper (. 1 Novel-view Synthesis with Learned 3D Gaussians; 3. We present a work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks. Unlike neural implicit representations like neural radiance fields (NeRFs) that represent a 3D scene with position and viewpoint-conditioned neural networks, 3D Gaussian splatting utilizes a set of Gaussian ellipsoids to model the scene so that efficient rendering can be accomplished by Jan 8, 2024 · 3D Half-Gaussian (3D-HGS) kernels are proposed, which can be used as a plug-and-play kernel for 3D Gaussian Splatting and demonstrate their capability to improve the performance of current 3D-GS related methods and achieve state-of-the-art rendering performance on various datasets without compromising rendering speed. Instead, from a fresh perspective, we propose to obtain accurate 3D geometry of a scene by Gaussian trimming, which selectively removes the inaccurate geometry while The codebase has 4 main components: A PyTorch-based optimizer to produce a 3D Gaussian model from SfM inputs; A network viewer that allows to connect to and visualize the optimization process Mar 13, 2024 · This work builds up on the framework of 3D Gaussian splatting, taking the pretrained Gaussians and process them using a multi resolution hash grid and a tiny MLP to obtain the conditional stylised views. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented Jan 8, 2024 · Understanding 3D Gaussian Splatting: A Comprehensive Survey Introduction. An illustration of the forward process of 3D GS (Sec. An overview of recent Feb 20, 2024 · This survey meticulously benchmarks existing NeRF-based methods and discusses the integration of advanced techniques such as 3D Gaussian splatting (3DGS), large language models (LLM), and generative AIs, envisioning enhanced reconstruction efficiency, scene understanding, decision-making capabilities. fr) Apr 14, 2024 · Recently, 3D Gaussian splatting has gained quite a bit of traction (Kerbl et al. Jan 8, 2024 · 3D Half-Gaussian (3D-HGS) kernels are proposed, which can be used as a plug-and-play kernel for 3D Gaussian Splatting and demonstrate their capability to improve the performance of current 3D-GS related methods and achieve state-of-the-art rendering performance on various datasets without compromising rendering speed. 2 Density Control; 4 3D Gaussian Splatting: Directions. , tiles. 4 Improved Optimization Algorithms May 7, 2024 · 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). 1 to 3. 上面的內容說的比較簡易，如果想要了解更多的話，可以參考 paper： 3D Gaussian Splatting for Real-Time Radiance Field Rendering (inria. , 2019 Mokssit et al. 1). May 6, 2024 · Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of an object or scene from a set of input images. The field of explicit radiance fields and computer graphics is witnessing a significant transformation with the advent of 3D Gaussian Splatting (3D GS), a technique distinguished by the use of millions of 3D Gaussians. Previous arts for geometry reconstruction from 3D Gaussians mainly focus on exploring strong geometry regularization. , 2023). Code; Issues 0; Pull 3D Gaussian Splatting as a New Era: A Survey Ben Fei ∗ , Jingyi Xu , Rui Zhang , Qingyuan Zhou ∗ , Weidong Yang † , and Ying He Abstract —3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of computer graphics and 3D vision, Feb 20, 2024 · Fig. Jun 8, 2024 · by Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermuller, Yiannis Aloimonos, Heng Huang, Christopher A. 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months. This innovative approach, characterized by the utilization of millions of learnable 3D Gaussians, represents a significant departure Jun 1, 2024 · A Survey on 3D Gaussian Splatting. Our goal through this survey is to acquaint new researchers with 3D Gaussian Splatting, serve as a valuable reference for seminal works in the field, and inspire future research Feb 20, 2024 · This survey meticulously benchmarks existing NeRF-based methods and discusses the integration of advanced techniques such as 3D Gaussian splatting (3DGS), large language models (LLM), and generative AIs, envisioning enhanced reconstruction efficiency, scene understanding, decision-making capabilities. 2024–06–05. However, due to the flaw of its adaptive density control strategy in 3D-GS, it frequently suffers from over-reconstruction issue in intricate scenes containing high-frequency Jun 11, 2024 · In this paper, we introduce Trim 3D Gaussian Splatting (TrimGS) to reconstruct accurate 3D geometry from images. This innovative approach, characterized by the utilization of millions of learnable 3D Gaussians, represents a significant departure from mainstream neural radiance field approaches, which predominantly use implicit, coordinate-based models to A comprehensive survey of relevant papers from the past year in 3D Gaussian Splatting is presented, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. May 7, 2024 · 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). May 7, 2024 · A comprehensive survey of relevant papers from the past year in 3D Gaussian Splatting is presented, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. Our goal through this survey GSSLAM. 4. 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). - "How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey" 3 days ago · 3 3D Gaussian Splatting: Principles. It presents the theoretical foundations, the implementation details, and the applications of 3D-GS in computer graphics. The first systematic overview of the recent developments and critical contributions in the domain of 3D GS is provided, providing a detailed exploration of the underlying principles and the driving forces behind the emergence of 3D GS, laying the groundwork for understanding its significance. We find that the source for this phenomenon can be attributed to the lack of 3D frequency constraints and the usage of a 2D dilation filter Feb 11, 2024 · We organize the survey into taxonomies based on characteristics and applications, providing an introduction to the theoretical underpinnings of 3D Gaussian Splatting. It’s a key player in scene estimation and rendering jobs. This survey aims to analyze existing 3DGS-related works from multiple intersecting May 7, 2024 · 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). Nevertheless, they usually employ neural networks and volumetric rendering, which are costly to train and impede their broad use in various real-time applications due to the lengthy rendering time. 1 Introduction 3D Gaussian Splatting (3D-GS Sep 28, 2023 · 3D Gaussian Splatting. - MrNeRF/awesome-3D-gaussian-splatting We present a work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks. We categorize the different methods into main RGB-D, RGB, and LiDAR-based frameworks. This technique has found diverse applications in areas such as robotics, urban mapping, autonomous navigation, and virtual reality/augmented Jun 17, 2024 · A work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks, and summarizing key statistics of different compression approaches in a tabulated format. (a) The splatting step projects 3D Gaussians into image space. Our goal through this survey is to acquaint new researchers with 3D Gaussian Splatting, serve as a valuable reference for seminal works in the field, and inspire future research Jan 8, 2024 · Abstract: 3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm of explicit radiance field and computer graphics. Expand. Apr 16, 2024 · 3D Gaussian Splatting (3D-GS) technique couples 3D Gaussian primitives with differentiable rasterization to achieve high-quality novel view synthesis results while providing advanced real-time rendering performance. 2 Optimization of 3D Gaussian Splatting. Survey iLabel UncLe SLAM DN -SLAM GS- EN-SLAM DDN -SLAM Submaps -based SLAM Semantic SLAM NeRF-style RGB -D SLAM 3D Gaussian Splatting Event -based SLAM Uncertainty Estimation Hand -crafted Deep Learning Radiance Fields Duan et al. Then, for each method, we report, from the second leftmost column to the second rightmost, the method name and publication venue, followed by (a) the May 7, 2024 · 3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without the reliance on neural networks, such as Neural Radiance Fields (NeRF). Mar 17, 2024 · The emergence of 3D Gaussian Splatting (3DGS) has greatly accelerated the rendering speed of novel view synthesis. Nov 27, 2023 · Recently, 3D Gaussian Splatting has demonstrated impressive novel view synthesis results, reaching high fidelity and efficiency. The datasets evaluated include TanksAndTemples, MipNeRF360, DeepBlending, and SyntheticNeRF. When the paper on 3D Gaussian Splatting was released, I was already amazed by what NeRF (Neural Radiance Fields 3 3D Gaussian Splatting: Principles. 2. This survey Mar 5, 2024 · 初めまして。Think & Craftでアルバイトをしております、白井雅也と申します。 最近、フォトグラメトリやLiDAR, NeRF など写真や動画から3次元空間を再構築する技術が登場してきています。 本記事では、その手法の一つである3D Gaussian Splattingというものに着目し、Windowsのローカル環境で行うため A Survey on 3D Gaussian Splatting. A Survey on 3D Gaussian Splatting Guikun Chen, and Wenguan Wang, Senior Member, IEEE Abstract—3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm of explicit radiance field and computer graphics. Jun 17, 2024 · Abstract: We present a work-in-progress survey on 3D Gaussian Splatting compression methods, focusing on their statistical performance across various benchmarks. Metzler. 1 Rendering with Learned 3D Gaussians; 3. im rv bt is fb yu sf me kp yk