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20222026
most citedNTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results

54 citations · 59 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

Elastic Token Compression for Pixel-Space Diffusion Transformers

Eduard Zamfir, Christian Reisswig, Zongwei Wu +2

Natural images concentrate their detail in a small fraction of the frame, yet diffusion models spend a full token on every patch, in every layer and at every timestep. The waste is…

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★ 1 cited

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.CV2024

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.CV2024

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…

cs.CV2024

Restore Anything Model via Efficient Degradation Adaptation

Bin Ren, Eduard Zamfir, Zongwei Wu +6

With the proliferation of mobile devices, the need for an efficient model to restore any degraded image has become increasingly significant and impactful. Traditional approaches ty…