7 papers
Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration
Luwei Tu, Jiawei Wu, Xing Luo +1
All-in-One Image Restoration (AiOIR) faces the fundamental challenge in reconciling conflicting optimization objectives across heterogeneous degradations. Existing methods are ofte…
FastPhysGS: Accelerating Physics-based Dynamic 3DGS Simulation via Interior Completion and Adaptive Optimization
Yikun Ma, Yiqing Li, Jingwen Ye +4
Extending 3D Gaussian Splatting (3DGS) to 4D physical simulation remains challenging. Based on the Material Point Method (MPM), existing methods either rely on manual parameter tun…
Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration
Jiawei Wu, Zhifei Yang, Zhe Wang +1
All-in-one image restoration (AIR) aims to address diverse degradations within a unified model by leveraging informative degradation conditions to guide the restoration process. Ho…
GUI-ARP: Enhancing Grounding with Adaptive Region Perception for GUI Agents
Xianhang Ye, Yiqing Li, Wei Dai +8
Existing GUI grounding methods often struggle with fine-grained localization in high-resolution screenshots. To address this, we propose GUI-ARP, a novel framework that enables ada…
MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion
Yikun Ma, Yiqing Li, Jiawei Wu +2
Generative models have made remarkable advancements and are capable of producing high-quality content. However, performing controllable editing with generative models remains chall…
SparseGS-W: Sparse-View 3D Gaussian Splatting in the Wild with Generative Priors
Yiqing Li, Xuan Wang, Jiawei Wu +2
Synthesizing novel views of large-scale scenes from unconstrained in-the-wild images is an important but challenging task in computer vision. Existing methods, which optimize per-i…