Paul, Sayak

10 publications

WACV 2025 DiffuseKronA: A Parameter Efficient Fine-Tuning Method for Personalized Diffusion Models Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen

CVPR 2025 Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis Bingda Tang, Boyang Zheng, Sayak Paul, Saining Xie

ICLRW 2025 FastRM: An Efficient and Automatic Explainability Framework for Multimodal Generative Models Gabriela Ben-Melech Stan, Estelle Aflalo, Man Luo, Shachar Rosenman, Tiep Le, Sayak Paul, Shao-Yen Tseng, Vasudev Lal

ICCV 2025 From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning Le Zhuo, Liangbing Zhao, Sayak Paul, Yue Liao, Renrui Zhang, Yi Xin, Peng Gao, Mohamed Elhoseiny, Hongsheng Li

ICLRW 2025 Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong

ICCV 2025 SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation Junsong Chen, Shuchen Xue, Yuyang Zhao, Jincheng Yu, Sayak Paul, Junyu Chen, Han Cai, Song Han, Enze Xie

NeurIPS 2025 Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Wooseok Jang, Jaewon Min, Sangwu Lee, Sayak Paul, Seungryong Kim

ECCV 2024 Getting It Right: Improving Spatial Consistency in Text-to-Image Models Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Guez Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hanna Hajishirzi, Vasudev Lal, Chitta R Baral, Yezhou Yang

AAAI 2022 Vision Transformers Are Robust Learners Sayak Paul, Pin-Yu Chen

NeurIPSW 2021 Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning Sayak Paul, Siddha Ganju