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cs.CV2026

NumColor: Precise Numeric Color Control in Text-to-Image Generation

Muhammad Atif Butt, Diego Hernandez, Alexandra Gomez-Villa +3

Text-to-image diffusion models excel at generating images from natural language descriptions, yet fail to interpret numerical colors such as hex codes (#FF5733) and RGB values (rgb…

cs.CV2025

Evaluating and Preserving High-level Fidelity in Super-Resolution

Josep M. Rocafort, Shaolin Su, Alexandra Gomez-Villa +1

Recent image Super-Resolution (SR) models are achieving impressive effects in reconstructing details and delivering visually pleasant outputs. However, the overpowering generative…

cs.CV2025

LumiCtrl : Learning Illuminant Prompts for Lighting Control in Personalized Text-to-Image Models

Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral +1

Text-to-image (T2I) models have demonstrated remarkable progress in creative image generation, yet they still lack precise control over scene illuminants which is a crucial factor…

cs.CV2025

Leveraging Multispectral Sensors for Color Correction in Mobile Cameras

Luca Cogo, Marco Buzzelli, Simone Bianco +2

Recent advances in snapshot multispectral (MS) imaging have enabled compact, low-cost spectral sensors for consumer and mobile devices. By capturing richer spectral information tha…

cs.CV2025

Evaluating Low-Light Image Enhancement Across Multiple Intensity Levels

Maria Pilligua, David Serrano-Lozano, Pai Peng +3

Imaging in low-light environments is challenging due to reduced scene radiance, which leads to elevated sensor noise and reduced color saturation. Most learning-based low-light enh…

cs.CV2025

GenColorBench: A Color Evaluation Benchmark for Text-to-Image Generation Models

Muhammad Atif Butt, Alexandra Gomez-Villa, Tao Wu +3

Recent years have seen impressive advances in text-to-image generation, with image generative or unified models producing high-quality images from text. Yet these models still stru…

cs.CV2025

Color Names in Vision-Language Models

Alexandra Gomez-Villa, Pablo Hernández-Cámara, Muhammad Atif Butt +3

Color serves as a fundamental dimension of human visual perception and a primary means of communicating about objects and scenes. As vision-language models (VLMs) become increasing…

cs.CV2025

Revisiting Image Fusion for Multi-Illuminant White-Balance Correction

David Serrano-Lozano, Aditya Arora, Luis Herranz +3

White balance (WB) correction in scenes with multiple illuminants remains a persistent challenge in computer vision. Recent methods explored fusion-based approaches, where a neural…

cs.CV2025

Bridging the Perception Gap in Image Super-Resolution Evaluation

Shaolin Su, Josep M. Rocafort, Danna Xue +3

As super-resolution (SR) techniques advance, we observe a growing distrust of evaluation metrics in recent SR research. An inconsistency often emerges between certain evaluation cr…

cs.CV2024

The Art of Deception: Color Visual Illusions and Diffusion Models

Alex Gomez-Villa, Kai Wang, Alejandro C. Parraga +4

Visual illusions in humans arise when interpreting out-of-distribution stimuli: if the observer is adapted to certain statistics, perception of outliers deviates from reality. Rece…

cs.CV2024

Adaptive Blind All-in-One Image Restoration

David Serrano-Lozano, Luis Herranz, Shaolin Su +1

Blind all-in-one image restoration models aim to recover a high-quality image from an input degraded with unknown distortions. However, these models require all the possible degrad…