12 papers
ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching
Yuhang He, Kai Zhang, Xiaoming Li +2
Color transfer aims to align the color distribution of a source image with that of a reference image while preserving structural and semantic consistency. However, existing methods…
LUVE : Latent-Cascaded Ultra-High-Resolution Video Generation with Dual Frequency Experts
Chen Zhao, Jiawei Chen, Hongyu Li +6
Recent advances in video diffusion models have significantly improved visual quality, yet ultra-high-resolution (UHR) video generation remains a formidable challenge due to the com…
OP4KSR: One-Step Patch-Free 4K Super-Resolution with Periodic Artifact Suppression
Chengyan Deng, Pengbin Yu, Zhentao Chen +6
Diffusion-based real-world image super-resolution (Real-ISR) has achieved remarkable perceptual quality; however, directly super-resolving images to 4K remains limited by extreme m…
Noise-Started One-Step Real-World Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement
Wei Zhu, Kai Zhang, Yu Zheng +3
Pre-trained text-to-image (T2I) diffusion models have shown strong potential for real-world image super-resolution (Real-ISR), owing to their noise-started generation process that…
From Zero to Detail: A Progressive Spectral Decoupling Paradigm for UHD Image Restoration with New Benchmark
Chen Zhao, Yunzhe Xu, Zhizhou Chen +5
Ultra-high-definition (UHD) image restoration poses unique challenges due to the high spatial resolution, diverse content, and fine-grained structures present in UHD images. To add…
High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams
Chu Zhou, Siqi Yang, Kailong Zhang +4
Conventional RGB-based high dynamic range (HDR) imaging faces a fundamental trade-off between motion artifacts in multi-exposure captures and irreversible information loss in singl…