Animesh Sinha

According to our database, Animesh Sinha authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

ViTok-v2: Scaling Native Resolution Auto-Encoders to 5 Billion Parameters.

Philippe Hansen-Estruch, Jiahui Chen, Vivek Ramanujan, Orr Zohar, Yan Ping, Animesh Sinha, Markos Georgopoulos, Edgar Schönfeld, Ji Hou, Felix Juefei-Xu, Sriram Vishwanath, Ali K. Thabet

CoRR, May, 2026

UniT: Unified Multimodal Chain-of-Thought Test-time Scaling.

Leon Liangyu Chen, Haoyu Ma, Zhipeng Fan, Ziqi Huang, Animesh Sinha, Xiaoliang Dai, Jialiang Wang, Zecheng He, Jianwei Yang, Chunyuan Li, Junzhe Sun, Chu Wang, Serena Yeung-Levy, Felix Juefei-Xu

CoRR, February, 2026

Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs.

Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Meng Dong, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He

CoRR, January, 2026

Conversational Image Generation: Towards Multi-Round Personalized Generation with Multi-Modal Language Models.

Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

MoCha: Towards Movie-Grade Talking Character Synthesis.

Cong Wei, Bo Sun, Haoyu Ma, Ji Hou, Felix Juefei-Xu, Zecheng He, Xiaoliang Dai, Luxin Zhang, Kunpeng Li, Tingbo Hou, Animesh Sinha, Peter Vajda, Wenhu Chen

CoRR, March, 2025

Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.

Feng Liang, Haoyu Ma, Zecheng He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh Sinha, Peizhao Zhang, Peter Vajda, Diana Marculescu

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

2024

Deep reinforcement learning in chemistry: A review.

Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar

J. Comput. Chem., 2024

DirectorLLM for Human-Centric Video Generation.

Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu

CoRR, 2024

Imagine yourself: Tuning-Free Personalized Image Generation.

Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, Li Chen, Ankit Jain, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha

CoRR, 2024

Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.

Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan

Proceedings of the Computer Vision - ECCV 2024, 2024

Context Diffusion: In-Context Aware Image Generation.

Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic

Proceedings of the Computer Vision - ECCV 2024, 2024

GenTron: Diffusion Transformers for Image and Video Generation.

Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits.

Utkarsh Azad, Animesh Sinha

Quantum Inf. Process., 2023

Gen2Det: Generate to Detect.

Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava

CoRR, 2023

GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation.

Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa

CoRR, 2023

2022

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval.

Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang

CoRR, 2022

CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval.

Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning.

Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search.

Animesh Sinha, Utkarsh Azad, Harjinder Singh

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

2021

Large-Scale Attribute-Object Compositions.

Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan

CoRR, 2021