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20242026
most citedHATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution

3 citations · 3 across the 13 of their papers we have counts for

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cs.CV2026

Paris 2.0: A Decentralized Diffusion Model for Video Generation

Ali Rouzbayani, Bidhan Roy, Marcos Villagra +1

We present Paris 2.0, the first video generation model pre-trained through decentralized computation. Its training recipe builds upon Paris 1.0 (arXiv:2510.03434), the first ever o…

cs.CV2026

DRFusion: Drift-Resilient Temporally Consistent Infrared-Visible Video Fusion

Xingyuan Li, Haoyuan Xu, Shulin Li +3

Infrared and visible video fusion is essential for achieving comprehensive perception in dynamic scenes. However, maintaining temporal consistency remains a formidable challenge. C…

cs.CV2026

Uncertainty-aware Spatial-Frequency Registration and Fusion for Infrared and Visible Images

Xingyuan Li, Haoyuan Xu, Xingyue Zhu +4

Infrared and Visible Image Fusion (IVIF) has shown promise in visual tasks under challenging environments, but fusion under unregistered conditions faces inherent misalignments. Cu…

cs.CV2026

UniFusion: A Unified Image Fusion Framework with Robust Representation and Source-Aware Preservation

Xingyuan Li, Songcheng Du, Yang Zou +3

Image fusion aims to integrate complementary information from multiple source images to produce a more informative and visually consistent representation, benefiting both human per…

cs.CV2026

Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset

Yang Zou, Jun Ma, Zhidong Jiao +3

Infrared image super-resolution (IISR) under real-world conditions is a practically significant yet rarely addressed task. Pioneering works are often trained and evaluated on simul…

cs.CV2026

Bridging Human Evaluation to Infrared and Visible Image Fusion

Jinyuan Liu, Xingyuan Li, Qingyun Mei +5

Infrared and visible image fusion (IVIF) integrates complementary modalities to enhance scene perception. Current methods predominantly focus on optimizing handcrafted losses and o…