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cs.CV2026

LAWM-3D: Learning 3D-Aware Latent Actions from Human Videos for Generalizable Robot World Models

Jiarui Yang, Jiale Zhange, Jiawei Li +5

World models enable agents to perform forward rollout and planning without real-world interaction. However, their application in open-world embodied intelligence remains limited by…

cs.CV2026

Beyond Illumination: A Conditional Mutual Information-Guided Network for Low-Light Image Enhancement

Ya-nan Guan, Shaonan Zhang, Tao Dai +5

Low-light image enhancement (LLIE) seeks to restore structural fidelity, natural color rendition, and proper exposure from images captured under inadequate lighting conditions. Rec…

cs.CV2026

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)

Ya-nan Guan, Shaonan Zhang, Hang Guo +55

In this paper, we present a comprehensive overview of the NTIRE 2026 3rd Restore Any Image Model (RAIM) challenge, with a specific focus on Track 3: AI Flash Portrait. Despite sign…

cs.CV2026

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Yan Shu +60

This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a…

cs.CV2025

Personalized Face Super-Resolution with Identity Decoupling and Fitting

Jiarui Yang, Hang Guo, Wen Huang +2

In recent years, face super-resolution (FSR) methods have achieved remarkable progress, generally maintaining high image fidelity and identity (ID) consistency under standard setti…

cs.CV2025

FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning

Hang Guo, Yawei Li, Taolin Zhang +4

Visual Autoregressive (VAR) modeling has gained popularity for its shift towards next-scale prediction. However, existing VAR paradigms process the entire token map at each scale s…