Avinab Saha — accepted AI-conference papers

2025

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation

Xiaoying Xing, Avinab Saha, Junfeng He, Susan Hao, Paul Vicol, Moonkyung Ryu +6

CVPR 2025highlight

Text-to-image (T2I) generation has made significant advances in recent years, but challenges still remain in the generation of perceptual artifacts, misalignment with complex prompts, and safety. The prevailing approach to address these issues involves collecting human feedback on generated images,…

Cited by 2 Source ↗PDF ↗Scholar ↗

2023

Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild

Avinab Saha, Sandeep Mishra, Alan C. Bovik

CVPR 2023poster

Automatic Perceptual Image Quality Assessment is a challenging problem that impacts billions of internet, and social media users daily. To advance research in this field, we propose a Mixture of Experts approach to train two separate encoders to learn high-level content and low-level image quality f…

Cited by 110 Source ↗PDF ↗code ↗Scholar ↗