2 citations · 3 across the 8 of their papers we have counts for
4 papers · 1 filter
Learning to Restore More: Continual Capability Expansion for Pretrained Image Restoration Models
Hu Gao, Yulong Chen, Lizhuang Ma
Image restoration models are typically trained with a fixed set of capabilities. When new restoration requirements emerge, existing solutions usually train additional models or joi…
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…
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…
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…