3D Gaussians
PulseAugur coverage of 3D Gaussians — every cluster mentioning 3D Gaussians across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Struct-GStream enables efficient free-viewpoint video streaming with 3D Gaussians
Researchers have developed Struct-GStream, a novel method for efficient free-viewpoint video (FVV) streaming using structured 3D Gaussians. This approach addresses the challenges of real-time rendering and high storage …
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New TOM-GS method enables editable video with temporal opacity modulation
Researchers have introduced TOM-GS, a novel method for creating editable video representations using static 3D Gaussians with temporal opacity modulation. This approach allows static spatial components to smoothly fade …
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New method computes fast pointwise signed distance for point clouds
Researchers have developed a novel method for computing signed distances to point clouds, enabling fast, high-resolution evaluations of the approximate underlying surface. This technique involves locally fitting point c…
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New SAGO framework enables real-time 3D Gaussian segmentation
Researchers have developed SAGO (Segment Any Gaussians Online), a new framework designed to enable real-time interactive segmentation of 3D Gaussian Splatting (3DGS) scenes. Unlike previous methods that required lengthy…
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New AI pipeline generates lifelike 3D avatars from single images
Researchers have developed FiCA, a novel system for generating lifelike 3D avatars from a single portrait image. This pipeline combines human-centric vision foundation models with a diffusion model to reconstruct comple…
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New research enhances 3D Gaussian Splatting for efficiency and editing
Researchers are advancing 3D Gaussian Splatting (3DGS) techniques to improve efficiency, accuracy, and editing capabilities. New methods focus on incorporating uncertainty quantification for better active view selection…
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New GeoGS-CE method improves channel estimation for high-mobility scenarios
Researchers have developed GeoGS-CE, a novel two-stage framework for channel estimation in high-mobility scenarios like high-speed railways. This method leverages a scene-level 3D Gaussian representation and a different…