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20222026
most citedAIM 2024 Sparse Neural Rendering Challenge: Methods and Results

8 citations · 8 across the 6 of their papers we have counts for

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cs.CV2026

Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition

Rongkang Dong, Cuixin Yang, Cong Zhang +2

Facial Expression Recognition (FER) is essential for human-machine interaction, as it enables machines to interpret human emotions and internal states from facial affective behavio…

cs.CV2025

Multi-level distortion-aware deformable network for omnidirectional image super-resolution

Cuixin Yang, Rongkang Dong, Kin-Man Lam +2

As augmented reality and virtual reality applications gain popularity, image processing for OmniDirectional Images (ODIs) has attracted increasing attention. OmniDirectional Image…

cs.CV2025

Vision-Language Model Guided Image Restoration

Cuixin Yang, Rongkang Dong, Kin-Man Lam

Many image restoration (IR) tasks require both pixel-level fidelity and high-level semantic understanding to recover realistic photos with fine-grained details. However, previous a…

cs.CV2024

Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning

Yushen Zuo, Jun Xiao, Kin-Chung Chan +5

The stylization of 3D scenes is an increasingly attractive topic in 3D vision. Although image style transfer has been extensively researched with promising results, directly applyi…

cs.CV2024★ 8 cited

AIM 2024 Sparse Neural Rendering Challenge: Methods and Results

Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay +27

This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript…