activity
20222026
most citedDeep Generalized Unfolding Networks for Image Restoration

14 citations · 14 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting

Qian Wang, Yu Wang, Weiqi Li +4

While 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction and novel-view synthesis, scenarios with limited input views often lead to poor reconstruction quality and a…

cs.CV2025

AlignedGen: Aligning Style Across Generated Images

Jiexuan Zhang, Yiheng Du, Qian Wang +3

Despite their generative power, diffusion models struggle to maintain style consistency across images conditioned on the same style prompt, hindering their practical deployment in…

cs.CV2025

MIND-Edit: MLLM Insight-Driven Editing via Language-Vision Projection

Shuyu Wang, Weiqi Li, Qian Wang +2

Recent advances in AI-generated content (AIGC) have significantly accelerated image editing techniques, driving increasing demand for diverse and fine-grained edits. Despite these…

cs.CV2024

OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation

Weiqi Li, Shijie Zhao, Chong Mou +6

As virtual reality gains popularity, the demand for controllable creation of immersive and dynamic omnidirectional videos (ODVs) is increasing. While previous text-to-ODV generatio…

cs.CV2024

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model

Qian Wang, Weiqi Li, Chong Mou +2

Panorama video recently attracts more interest in both study and application, courtesy of its immersive experience. Due to the expensive cost of capturing 360-degree panoramic vide…

cs.CV2022★ 14 cited

Deep Generalized Unfolding Networks for Image Restoration

Chong Mou, Qian Wang, Jian Zhang

Deep neural networks (DNN) have achieved great success in image restoration. However, most DNN methods are designed as a black box, lacking transparency and interpretability. Altho…