Animesh Sinha

23 papers A* 5Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Non-Markov Multi-Round Conversational Image Generation with History-Conditioned MLLMs.
CoRR
Haochen Zhang, Animesh Sinha, Felix Juefei-Xu, Haoyu Ma, Kunpeng Li, Zhipeng Fan, Meng Dong, Xiaoliang Dai, Tingbo Hou, Peizhao Zhang, Zecheng He
2026 J jnl
UniT: Unified Multimodal Chain-of-Thought Test-time Scaling.
CoRR
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
2025 J jnl
MoCha: Towards Movie-Grade Talking Character Synthesis.
CoRR
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
2025 A* conf
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
CVPR
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
2025 J jnl
Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts.
CoRR
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
2024 — conf
Context Diffusion: In-Context Aware Image Generation.
ECCV (77)
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
2024 J jnl
Deep reinforcement learning in chemistry: A review.
J. Comput. Chem.
Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar
2024 J jnl
DirectorLLM for Human-Centric Video Generation.
CoRR
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
2024 A* conf
GenTron: Diffusion Transformers for Image and Video Generation.
CVPR
Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa
2024 J jnl
Imagine yourself: Tuning-Free Personalized Image Generation.
CoRR
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
2024 — conf
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.
ECCV (70)
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
2023 J jnl
Context Diffusion: In-Context Aware Image Generation.
CoRR
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
2023 J jnl
Gen2Det: Generate to Detect.
CoRR
Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava
2023 J jnl
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation.
CoRR
Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa
2023 J jnl
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression.
CoRR
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
2023 J jnl
qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits.
Quantum Inf. Process.
Utkarsh Azad, Animesh Sinha
2022 A* conf
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval.
KDD
Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang
2022 J jnl
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval.
CoRR
Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang
2022 A* conf
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning.
EMNLP
Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang
2022 J jnl
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning.
CoRR
Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang
2022 A* conf
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search.
AAAI
Animesh Sinha, Utkarsh Azad, Harjinder Singh
2021 J jnl
Large-Scale Attribute-Object Compositions.
CoRR
Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan
2021 J jnl
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search.
CoRR
Animesh Sinha, Utkarsh Azad, Harjinder Singh