activity
20242026
most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 54 across the 1 of their papers we have counts for

collaborators

8 papers

cs.CV202654 cited

NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

Zheng Chen, Zongwei Wu, Eduard Zamfir +85

This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…

eess.IV2026

Language-Free Generative Editing from One Visual Example

Omar Elezabi, Eduard Zamfir, Zongwei Wu +1

Text-guided diffusion models have advanced image editing by enabling intuitive control through language. However, despite their strong capabilities, we surprisingly find that SOTA…

cs.CV2026

Any Image Restoration via Efficient Spatial-Frequency Degradation Adaptation

Bin Ren, Eduard Zamfir, Zongwei Wu +7

Restoring multiple degradations efficiently via just one model has become increasingly significant and impactful, especially with the proliferation of mobile devices. Traditional s…

cs.CV2025

What You Have is What You Track: Adaptive and Robust Multimodal Tracking

Yuedong Tan, Jiawei Shao, Eduard Zamfir +7

Multimodal data is known to be helpful for visual tracking by improving robustness to appearance variations. However, sensor synchronization challenges often compromise data availa…

cs.CV2025

ReCap: Better Gaussian Relighting with Cross-Environment Captures

Jingzhi Li, Zongwei Wu, Eduard Zamfir +1

Accurate 3D objects relighting in diverse unseen environments is crucial for realistic virtual object placement. Due to the albedo-lighting ambiguity, existing methods often fall s…

cs.CV2025

Complexity Experts are Task-Discriminative Learners for Any Image Restoration

Eduard Zamfir, Zongwei Wu, Nancy Mehta +4

Recent advancements in all-in-one image restoration models have revolutionized the ability to address diverse degradations through a unified framework. However, parameters tied to…