works on

From the 1 of 32 linked papers with an AI index.

activity
20242026
most citedPSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

2 citations · 2 across the 5 of their papers we have counts for

collaborators

32 papers

cs.RO2026

Data Pyramid for Embodied Manipulation: A Survey

Yifan Ye, Yankai Fu, Yaoxu Lv +26

Multimodal foundation models learned to see and to speak by consuming the whole internet. Embodied agents admit no such shortcut, since they require data that couple observations w…

cs.CV2026

Hierarchical Denoising For Multi-Step Visual Reasoning

Zezhong Qian, Xiaowei Chi, Chak-Wing Mak +9

The paper introduces HDR, a hierarchical denoising framework for causal video generation that enables multi-step visual reasoning with low-latency streaming, achieving higher succe…

cs.CV2026

WAM4D: Fast 4D World Action Model via Spatial Register Tokens

Ying Li, Xiaobao Wei, Jiajun Cao +10

World action models (WAMs) have recently shown promise in jointly modeling future observations and executable robot actions. However, most existing WAMs still operate in 2D video o…

cs.CV20262 cited

PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

Peng Li, Wangguandong Zheng, Yuan Liu +9

Detailed and photorealistic 3D human modeling is essential for various applications and has seen tremendous progress. However, full-body reconstruction from a monocular RGB image r…

cs.RO2026

MV-WAM: Manifold-Aware World Action Model with Value Augmentation

Jintao Chen, Peidong Jia, Qingpo Wuwu +13

Achieving robust and generalizable manipulation across diverse environments remains a fundamental challenge in embodied robotics. Recent world action models achieve strong in-domai…

cs.RO2026

WAM-RL: World-Action Model Reinforcement Learning with Reconstruction Rewards and Online Video SFT

Zezhong Qian, Xiaowei Chi, Yu Qi +3

Recent World-Action (WA) models demonstrate strong generalization ability and data efficiency, but they typically rely on expert trajectories for training. This reliance limits the…