7 papers · 1 filter
ExGS: Extreme 3D Gaussian Compression with Diffusion Priors
Jiaqi Chen, Xinhao Ji, Yuanyuan Gao +7
Neural scene representations, such as 3D Gaussian Splatting (3DGS), have enabled high-quality neural rendering; however, their large storage and transmission costs hinder deploymen…
Proxy-GS: Unified Occlusion Priors for Training and Inference in Structured 3D Gaussian Splatting
Yuanyuan Gao, Yuning Gong, Yifei Liu +6
3D Gaussian Splatting (3DGS) has emerged as an efficient approach for achieving photorealistic rendering. Recent MLP-based variants further improve visual fidelity but introduce su…
Learnable SMPLify: A Neural Solution for Optimization-Free Human Pose Inverse Kinematics
Yuchen Yang, Linfeng Dong, Wei Wang +2
In 3D human pose and shape estimation, SMPLify remains a robust baseline that solves inverse kinematics (IK) through iterative optimization. However, its high computational cost li…
AniCrafter: Customizing Realistic Human-Centric Animation via Avatar-Background Conditioning in Video Diffusion Models
Muyao Niu, Mingdeng Cao, Yifan Zhan +6
Recent advances in video diffusion models have substantially enhanced character animation techniques. However, existing methods primarily depend on structural conditions, such as D…
CityGS-X: A Scalable Architecture for Efficient and Geometrically Accurate Large-Scale Scene Reconstruction
Yuanyuan Gao, Hao Li, Jiaqi Chen +5
Despite its significant achievements in large-scale scene reconstruction, 3D Gaussian Splatting still faces substantial challenges, including slow processing, high computational co…
R3-Avatar: Record and Retrieve Temporal Codebook for Reconstructing Photorealistic Human Avatars
Yifan Zhan, Wangze Xu, Qingtian Zhu +6
We present R3-Avatar, incorporating a temporal codebook, to overcome the inability of human avatars to be both animatable and of high-fidelity rendering quality. Existing video-bas…
SGA-INTERACT: A 3D Skeleton-based Benchmark for Group Activity Understanding in Modern Basketball Tactic
Yuchen Yang, Wei Wang, Yifei Liu +5
Group Activity Understanding is predominantly studied as Group Activity Recognition (GAR) task. However, existing GAR benchmarks suffer from coarse-grained activity vocabularies an…