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20232026
most citedRepresenting Long Volumetric Video with Temporal Gaussian Hierarchy

25 citations · 34 across the 8 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

4DAnyone: Create Anyone in 4D from a Casual Monocular Video

Yudong Jin, Tao Xie, Qihang Zhang +6

We present 4DAnyone, a framework for reconstructing 4D humans from an uncalibrated monocular video by generating reconstruction-grade multiview-consistent videos and lifting them i…

cs.CV2026

PointSplat: Compact Gaussian Splatting via Human-Centric Prediction

Yujie Guo, Yudong Jin, Lingteng Qiu +7

Producing 3D human representations from input views on the fly is essential for immersive live streaming systems, where representation compactness is as critical as high fidelity g…

cs.CV2025

ERNet: Efficient Non-Rigid Registration Network for Point Sequences

Guangzhao He, Yuxi Xiao, Zhen Xu +2

Registering an object shape to a sequence of point clouds undergoing non-rigid deformation is a long-standing challenge. The key difficulties stem from two factors: (i) the presenc…

cs.CV2025

Diffuman4D: 4D Consistent Human View Synthesis from Sparse-View Videos with Spatio-Temporal Diffusion Models

Yudong Jin, Sida Peng, Xuan Wang +6

This paper addresses the challenge of high-fidelity view synthesis of humans with sparse-view videos as input. Previous methods solve the issue of insufficient observation by lever…

cs.CV2025

Towards Depth Foundation Model: Recent Trends in Vision-Based Depth Estimation

Zhen Xu, Hongyu Zhou, Sida Peng +13

Depth estimation is a fundamental task in 3D computer vision, crucial for applications such as 3D reconstruction, free-viewpoint rendering, robotics, autonomous driving, and AR/VR…

cs.CV2025

FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction

Yifan Wang, Peishan Yang, Zhen Xu +6

This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Some recent works define 3D Gaussian primitives in the canonical space and use deformat…