Results 201 to 210 of about 897,519 (241)
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Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
International Conference on Learning Representations, 2023Reconstructing dynamic 3D scenes from 2D images and generating diverse views over time is challenging due to scene complexity and temporal dynamics.
Ze-Yu Yang +4 more
semanticscholar +1 more source
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting
European Conference on Computer Vision, 2023Novel view synthesis from limited observations remains an important and persistent task. However, high efficiency in existing NeRF-based few-shot view synthesis is often compromised to obtain an accurate 3D representation.
Zehao Zhu +3 more
semanticscholar +1 more source
NegGS: Negative Gaussian Splatting [PDF]
Information SciencesOne of the key advantages of 3D rendering is its ability to simulate intricate scenes accurately. One of the most widely used methods for this purpose is Gaussian Splatting, a novel approach that is known for its rapid training and inference capabilities.
Jacek Tabor +2 more
exaly +1 more source
AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Views
ACM Transactions on GraphicsWe introduce AnySplat, a feed-forward network for novel-view synthesis from uncalibrated image collections. In contrast to traditional neural-rendering pipelines that demand known camera poses and per-scene optimization, or recent feed-forward methods ...
Li-Han Jiang +11 more
semanticscholar +1 more source
Recent advances in 3D Gaussian splatting [PDF]
Computational Visual MediaThe emergence of 3D Gaussian Splatting (3DGS) has greatly accelerated the rendering speed of novel view synthesis. Unlike neural implicit representations like Neural Radiance Fields (NeRF) that represent a 3D scene with position and viewpoint-conditioned
Yan-Pei Cao +2 more
exaly +1 more source
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression
European Conference on Computer Vision3D Gaussian Splatting (3DGS) has emerged as a promising framework for novel view synthesis, boasting rapid rendering speed with high fidelity. However, the substantial Gaussians and their associated attributes necessitate effective compression techniques.
Yi-Hang Chen +4 more
semanticscholar +1 more source
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
European Conference on Computer VisionWe propose GS-LRM, a scalable large reconstruction model that can predict high-quality 3D Gaussian primitives from 2-4 posed sparse images in 0.23 seconds on single A100 GPU.
Kai Zhang +6 more
semanticscholar +1 more source
3D Gaussian Splatting as Markov Chain Monte Carlo
Neural Information Processing SystemsWhile 3D Gaussian Splatting has recently become popular for neural rendering, current methods rely on carefully engineered cloning and splitting strategies for placing Gaussians, which can lead to poor-quality renderings, and reliance on a good ...
Shakiba Kheradmand +8 more
semanticscholar +1 more source
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
European Conference on Computer VisionImplicit neural representations (INRs) recently achieved great success in image representation and compression, offering high visual quality and fast rendering speeds with 10-1000 FPS, assuming sufficient GPU resources are available.
Xinjie Zhang +8 more
semanticscholar +1 more source
FastGS: Training 3D Gaussian Splatting in 100 Seconds
arXiv.orgThe dominant 3D Gaussian splatting (3DGS) acceleration methods fail to properly regulate the number of Gaussians during training, causing redundant computational time overhead.
Shi-Wei Ren +3 more
semanticscholar +1 more source