activity
20242026
most citedExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring

1 citations · 1 across the 7 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Zero-shot HOI Detection with MLLM-based Detector-agnostic Interaction Recognition

Shiyu Xuan, Dongkai Wang, Zechao Li +1

Zero-shot Human-object interaction (HOI) detection aims to locate humans and objects in images and recognize their interactions. While advances in open-vocabulary object detection…

cs.CV2025

FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Model

Xiang Chen, Jinshan Pan, Jiangxin Dong +2

Recent studies have witnessed significant advances in image restoration foundation models driven by improvements in the scale and quality of pre-training data. In this work, we fin…

cs.CV2025

PGP-DiffSR: Phase-Guided Progressive Pruning for Efficient Diffusion-based Image Super-Resolution

Zhongbao Yang, Jiangxin Dong, Yazhou Yao +2

Although diffusion-based models have achieved impressive results in image super-resolution, they often rely on large-scale backbones such as Stable Diffusion XL (SDXL) and Diffusio…

cs.CV2025

AIM 2025 Challenge on High FPS Motion Deblurring: Methods and Results

George Ciubotariu, Florin-Alexandru Vasluianu, Zhuyun Zhou +44

This paper presents a comprehensive review of the AIM 2025 High FPS Non-Uniform Motion Deblurring Challenge, highlighting the proposed solutions and final results. The objective of…

eess.IV2025

MTSIC: Multi-stage Transformer-based GAN for Spectral Infrared Image Colorization

Tingting Liu, Yuan Liu, Jinhui Tang +5

Thermal infrared (TIR) images, acquired through thermal radiation imaging, are unaffected by variations in lighting conditions and atmospheric haze. However, TIR images inherently…

cs.CV2025

Plenodium: UnderWater 3D Scene Reconstruction with Plenoptic Medium Representation

Changguanng Wu, Jiangxin Dong, Chengjian Li +1

We present Plenodium (plenoptic medium), an effective and efficient 3D representation framework capable of jointly modeling both objects and participating media. In contrast to exi…