Sayak Paul

According to our database, Sayak Paul authored at least 23 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Statics to Dynamics: Physics-Aware Image Editing with Latent Transition Priors.

Liangbing Zhao, Le Zhuo, Sayak Paul, Hongsheng Li, Mohamed Elhoseiny

CoRR, February, 2026

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models.

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jiasi Shen, Jing Tang, Jianguo Li

CoRR, February, 2026

Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference.

Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Factuality Matters: When Image Generation and Editing Meet Structured Visuals.

Le Zhuo, Songhao Han, Yuandong Pu, Boxiang Qiu, Sayak Paul, Yue Liao, Yihao Liu, Jie Shao, Xi Chen, Si Liu, Hongsheng Li

CoRR, October, 2025

Fine-Grained Perturbation Guidance via Attention Head Selection.

Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Minjae Kim, Jaewon Min, Wooseok Jang, Saungwu Lee, Sayak Paul, Susung Hong, Seungryong Kim

CoRR, June, 2025

Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis.

Bingda Tang, Boyang Zheng, Xichen Pan, Sayak Paul, Saining Xie

CoRR, May, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs.

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

FiVL: A Framework for Improved Vision-Language Alignment.

Estelle Aflalo, Gabriela Ben Melech Stan, Tiep Le, Man Luo, Shachar Rosenman, Sayak Paul, Shao-Yen Tseng, Vasudev Lal

CoRR, 2024

A Noise is Worth Diffusion Guidance.

Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, Seonhwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim

CoRR, 2024

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

CoRR, 2024

PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models.

Junsong Chen, Yue Wu, Simian Luo, Enze Xie, Sayak Paul, Ping Luo, Hang Zhao, Zhenguo Li

CoRR, 2024

Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss.

Yatharth Gupta, Vishnu V. Jaddipal, Harish Prabhala, Sayak Paul, Patrick von Platen

CoRR, 2024

Getting it Right: Improving Spatial Consistency in Text-to-Image Models.

Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

Vision Transformers Are Robust Learners.

Sayak Paul, Pin-Yu Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning.

Sayak Paul, Siddha Ganju

CoRR, 2021

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report.

Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui

CoRR, 2021

2020

A review of deep learning with special emphasis on architectures, applications and recent trends.

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Alan Peters

Knowl. Based Syst., 2020

G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling.

Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019

A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends.

Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Ditliac Atiah, Vadlamani Ravi, Richard Alan Peters

CoRR, 2019