Image Colorization

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8 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

EventSeeColor: Learning to Reconstruct Color from Monochrome Events
Oct 29, 2026Chuanzhi Xu, Langyi Chen, Haoxian Zhou +5Image Colorization Event-Based Vision
The University of Sydney · Beijing Technology and Business University
In-Token Learning for High-Fidelity Image Restoration via Diffusion Transformers
Sep 27, 2026Xingfu Yi, Xiaoxue YuImage-to-Image Translation Diffusion Transformer
Independent Researcher, Hangzhou, China · Zhejiang University, Hangzhou, China
MCIQA-2K: A Multi-Dimensional Dataset and No-Reference Quality Assessment Benchmark for Colorized Images
Sep 13, 2026Yunkai Zhuang, Qihang Yan, Zicheng Zhang +1Image Colorization Image Quality Assessment
School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China · Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China · School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Beyond Fixed Luminance: Towards Panchromatic and Orthochromatic Image Colorization
Aug 11, 2026Swarnim Maheshwari, Syed Imam Ali, Vineeth N. BalasubramanianImage-to-Image Translation Image Colorization
Indian Institute of Technology Hyderabad, Kandi, Telangana, India · Microsoft Research India, Bengaluru, Karnataka, India
Semantic Color Naturalness Breaker: Preventing Illegitimate Colorization via Content-Aware Color Priors
Jul 20, 2026Yuki Nii, Futa Waseda, Ching-Chun Chang +1Adversarial Examples Image Colorization
The University of Tokyo, Japan · National Institute of Informatics, Japan
Multimodal Image Colorization: Quantifying the Impact of Text-Conditioned Guidance on Grayscale-to-Color Translation
Jun 16, 2026Colten Reissmann, Hugo Garrido-Lestache BelinchonImage-to-Image Translation Conditional Image Generation
Department of Computer Science and Software Engineering[cs.GR] Milwaukee School of Engineering Milwaukee, WI US
ColorFLUX: A Structure-Color Decoupling Framework for Old Photo Colorization
Mar 30, 2026Bingchen Li, Zhixin Wang, Fan Li +5Image Colorization Image Restoration
University of Science and Technology of China · Huawei Noah’s Ark Lab
Towards High-resolution and Disentangled Reference-based Sketch Colorization
Mar 6, 2026Dingkun Yan, Xinrui Wang, Ru Wang +5Image Colorization Distribution Shift
The University of Tokyo · Project HAT · Waseda University

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EventSeeColor: Learning to Reconstruct Color from Monochrome Events

Chuanzhi Xu, Langyi Chen, Haoxian Zhou, Zelin Zhang+4

The University of Sydney · Beijing Technology and Business University

Image Colorization Event-Based Vision Image Reconstruction Image-to-Image Translation

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Event cameras capture visual brightness changes under challenging lighting conditions. However, traditional event-based image reconstruction targets grayscale intensity and produces images without scene color. Color distinguishes surfaces with similar intensity. Reconstructing color from events can reveal appearance differences that reconstructed grayscale images cannot express. Although monochrome event cameras do not directly measure color, their event-triggering patterns depend on surface reflectance, illumination, and the sensor's spectral response. These patterns may contain cues that support color reconstruction. In this paper, we present EventSeeColor, which uses event-reconstructed grayscale and aligned events to jointly guide a diffusion colorizer. Grayscale-derived semantic context supports color inference, while region-balanced chroma supervision and local RGB refinement improve color distribution, brightness, and texture. In the combined evaluation on two real event datasets, EventSeeColor achieves the best structural similarity, learned perceptual scores, and chromatic-region color difference among the external methods.