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                    Agneet Chatterjee
                   I am a Computer Science PhD student at Arizona State University, where I am advised by Chitta Baral and Yezhou Yang. I have also worked as a student researcher at  Stability AI and  LLNL.
                  My current research interests are in developing controllable image and video generative models.
                   
                    I received my Bachelors in Computer Science from Jadavpur University in 2019.
                    Before I started my PhD, I was a software engineer at Salesforce.
                   
                    I will graduate in 2026 and am looking for industry positions focused on generative image and video models.
                  
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                | News 
                     
                      
                         September, 2025 - Stable Cinemetrics is out and will be presented at NeurIPS 2025! September, 2025 - 1 paper accepted at TMLR. September, 2025 - 1 paper accepted at EMNLP 2025. June, 2025 - Best paper award at CVPR BEAM Workshop 2025. January, 2025 - Joining Stability AI as a Research Scientist Intern to work on video generative models.  July, 2024 - SPRIGHT and REVISION accepted to ECCV 2024!
                         May, 2024 - Spending the summer at LLNL. April, 2024 - New preprint out. More details on our website. March, 2024 - 1 paper accepted to NAACL 2024. March, 2024 - Received travel grants from  SCAI and  GPSA. February, 2024 - 1 paper accepted to CVPR 2024! February, 2024 - Received the SCAI Doctoral Fellowship. March, 2023 - Received the SCAI Engineering Fellowship. January, 2023 - Started my PhD. |  
            
              
                |  | Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Max Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani
 NeurIPS 2025
 Paper | Project |  
                |  | AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models Vatsal Malaviya, Agneet Chatterjee, Maitreya Patel, Yezhou Yang, Chitta Baral
 EMNLP 2025 (Main)
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                |  | Dual Caption Preference Optimization for Diffusion Models Amir Saeidi, Yiran Luo, Agneet Chatterjee, Shamanthak Hegde, Bimsara Pathiraja, Yezhou Yang, Chitta Baral
 TMLR
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                |  | TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark Forouzan Fallah, Maitreya Patel, Agneet Chatterjee, Vlad Morariu, Chitta Baral, Yezhou Yang
 CVPR BEAM Workshop 2025 | Best Paper Award
 Paper |  
                |  | 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
 ECCV 2024
 Paper | Project | Code |  
                |  | REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models Agneet Chatterjee*, Yiran Luo*, Tejas Gokhale, Yezhou Yang, Chitta Baral
 ECCV 2024
 Paper | Project | Data | Code |  
                |  | On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation Agneet Chatterjee, Tejas Gokhale, Chitta Baral,  Yezhou Yang
 CVPR  2024
 Paper | Project | Code |  
                |  | Evaluating Multimodal Large Language Models Across Distribution Shifts and Augmentations Aayush Atul Verma*, Amir Saeidi*, Shamanthak Hegde*, Ajay Therala*, Fenil Denish Bardoliya*, Nagaraju Machavarapu*, Shri Ajay Kumar Ravindhiran*, Srija Malyala*, Agneet Chatterjee*, Yezhou Yang, Chitta Baral
 CVPR  2024 Workshop - Evaluation of Generative Foundation Models
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                |  | Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Ritika Sarkar, Amir Saeidi, Chitta Baral
 NAACL TrustNLP 2025 Workshop
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                |  | Accelerating LLM Inference by Enabling Intermediate Layer Decoding Neeraj Varshney, Agneet Chatterjee, Mihir Parmar, Chitta Baral
 NAACL 2024 (Findings)
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                    This website's source code is borrowed from Jon Barron.
                    Last Updated: September 2025
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