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20152026
most citedSoft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

355 citations · 2.7k across the 325 of their papers we have counts for

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Showing 2024Show all

48 papers · 1 filter

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…

eess.IV2024

INRetouch: Context Aware Implicit Neural Representation for Photography Retouching

Omar Elezabi, Marcos V. Conde, Zongwei Wu +1

Professional photo editing remains challenging, requiring extensive knowledge of imaging pipelines and significant expertise. While recent deep learning approaches, particularly st…

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

Enhanced Super-Resolution Training via Mimicked Alignment for Real-World Scenes

Omar Elezabi, Zongwei Wu, Radu Timofte

Image super-resolution methods have made significant strides with deep learning techniques and ample training data. However, they face challenges due to inherent misalignment betwe…

eess.IV2024★ 7 cited

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results

Ivan Molodetskikh, Artem Borisov, Dmitriy Vatolin +24

This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with E…

cs.CV2024

Steering Prediction via a Multi-Sensor System for Autonomous Racing

Zhuyun Zhou, Zongwei Wu, Florian Bolli +5

Autonomous racing has rapidly gained research attention. Traditionally, racing cars rely on 2D LiDAR as their primary visual system. In this work, we explore the integration of an…