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Muhammad Atif Butt

2 accepted papers

2026

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

CVPR 2026

Recent years have seen impressive advances in text-to-image generation, with image generative or unified models, generating high-quality images from text. Yet these models still struggle with fine-grained color control, often failing to accurately match colors specified in text prompts. While existi

Cited by 0SourcecodeScholar
2023

Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing

NeurIPS 2023poster

Large-scale text-to-image generative models have been a ground-breaking development in generative AI, with diffusion models showing their astounding ability to synthesize convincing images following an input text prompt. The goal of image editing research is to give users control over the generated…