works on

From the 1 of 72 linked papers with an AI index.

activity
20242026
collaborators

72 papers

cs.RO2026

Tired Actor: Fatigue-Informed Character Control

Shengyuan Zhang, Xinpeng Liu, Muchun Niu +5

Replicating human behavior with physics simulation has been a long-expected goal in character animation. Existing efforts have achieved impressive performance in imitating a wide s…

cs.CV2026

Causal-AgentIR: Self-Evolving Causal Memory for Adaptive Image Restoration Agents

Hu Gao, Yulong Chen, Lizhuang Ma

Image restoration agents have recently emerged as a flexible paradigm for handling diverse and unpredictable degradations in real-world scenarios. Existing agents typically formula…

cs.CV2026

Cycle-World: Mitigating Error Accumulation in Long-term Video World Models via Reverse-Prediction Cycle Consistency

Zihan Su, Teng Hu, Jiangning Zhang +4

The paper introduces Cycle-World, a framework that uses reverse‑prediction cycle consistency to reduce error accumulation in long‑horizon video generation, improving temporal consi…

cs.CV2026

EgoSim: Egocentric World Simulator for Embodied Interaction Generation

Jinkun Hao, Mingda Jia, Ruiyan Wang +7

We introduce EgoSim, a closed-loop egocentric world simulator that generates spatially consistent interaction videos and persistently updates the underlying 3D scene state for cont…

cs.CV2026

Learning Adaptive Dynamical Features via Multi- Liquid-Mamba for All-in-one Image Restoration

Hu Gao, Changshuo Wang, Yulong Chen +1

Image restoration aims to recover high-quality images from degraded observations. Recent Mamba-based image restoration models have demonstrated strong potential in modeling long-ra…

cs.CV2026

CineDance: Towards Next-Generation Multi-Shot Long-Form Cinematic Audio-Video Generation

Yuheng Chen, Teng Hu, Yuji Wang +7

The fidelity and structural diversity of training datasets fundamentally determine the capabilities of video generation models. While commercial systems showremarkableabilitytogene…