activity
20242026
most citedMoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds

1 citations · 1 across the 8 of their papers we have counts for

collaborators

12 papers

cs.CV2026

LightCity: An Urban Dataset for Outdoor Inverse Rendering and Reconstruction under Multi-illumination Conditions

Jingjing Wang, Qirui Hu, Chong Bao +4

Inverse rendering in urban scenes is pivotal for applications like autonomous driving and digital twins. Yet, it faces significant challenges due to complex illumination conditions…

cs.CV2025

AtlasGS: Atlanta-world Guided Surface Reconstruction with Implicit Structured Gaussians

Xiyu Zhang, Chong Bao, Yipeng Chen +5

3D reconstruction of indoor and urban environments is a prominent research topic with various downstream applications. However, existing geometric priors for addressing low-texture…

cs.CV2025

GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments

Lin Zeng, Boming Zhao, Jiarui Hu +4

Novel view synthesis with neural models has advanced rapidly in recent years, yet adapting these models to scene changes remains an open problem. Existing methods are either labor-…

cs.CV2025

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes

Zesong Yang, Bangbang Yang, Wenqi Dong +5

Humans can naturally identify and mentally complete occluded objects in cluttered environments. However, imparting similar cognitive ability to robotics remains challenging even wi…

cs.CV2025

IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular Videos

Yuan Li, Ziqian Bai, Feitong Tan +3

We propose a novel 3D-aware diffusion-based method for generating photorealistic talking head videos directly from a single identity image and explicit control signals (e.g., expre…

cs.GR2025

HiScene: Creating Hierarchical 3D Scenes with Isometric View Generation

Wenqi Dong, Bangbang Yang, Zesong Yang +5

Scene-level 3D generation represents a critical frontier in multimedia and computer graphics, yet existing approaches either suffer from limited object categories or lack editing f…