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20232025
most citedDiffusion Models for Image Restoration and Enhancement: A Comprehensive Survey

41 citations · 41 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation Models

Yiting Lu, Wei Luo, Peiyan Tu +8

World Generation Models are emerging as a cornerstone of next-generation multimodal intelligence systems. Unlike traditional 2D visual generation, World Models aim to construct rea…

cs.CV2024

GSemSplat: Generalizable Semantic 3D Gaussian Splatting from Uncalibrated Image Pairs

Xingrui Wang, Cuiling Lan, Hanxin Zhu +2

Modeling and understanding the 3D world is crucial for various applications, from augmented reality to robotic navigation. Recent advancements based on 3D Gaussian Splatting have i…

cs.CV2024

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation

Xingrui Wang, Xin Li, Yaosi Hu +4

Text-driven Image to Video Generation (TI2V) aims to generate controllable video given the first frame and corresponding textual description. The primary challenges of this task li…

eess.IV2024

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration

Yulin Ren, Xin Li, Bingchen Li +5

We present MoE-DiffIR, an innovative universal compressed image restoration (CIR) method with task-customized diffusion priors. This intends to handle two pivotal challenges in the…

cs.CV2024

CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion

Xingrui Wang, Xin Li, Zhibo Chen

Tuning-free long video diffusion has been proposed to generate extended-duration videos with enriched content by reusing the knowledge from pre-trained short video diffusion model…

cs.CV2023★ 41 cited

Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey

Xin Li, Yulin Ren, Xin Jin +5

Image restoration (IR) has been an indispensable and challenging task in the low-level vision field, which strives to improve the subjective quality of images distorted by various…