Lezama, Jose

16 publications

NeurIPS 2024 A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli

ICLR 2024 Language Model Beats Diffusion - Tokenizer Is Key to Visual Generation Lijun Yu, Jose Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A Ross, Lu Jiang

ECCV 2024 Photorealistic Video Generation with Diffusion Models Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, Jose Lezama

ICML 2024 VideoPoet: A Large Language Model for Zero-Shot Video Generation Dan Kondratyuk, Lijun Yu, Xiuye Gu, Jose Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A Ross, Bryan Seybold, Lu Jiang

ICLR 2023 Discrete Predictor-Corrector Diffusion Models for Image Synthesis Jose Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa

CVPR 2023 MAGVIT: Masked Generative Video Transformer Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

CVPR 2023 MaskSketch: Unpaired Structure-Guided Masked Image Generation Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa

ICML 2023 Muse: Text-to-Image Generation via Masked Generative Transformers Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan

CVPR 2023 Visual Prompt Tuning for Generative Transfer Learning Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang

ECCV 2022 Improved Masked Image Generation with Token-Critic José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

ICML 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models Jose Lezama, Wei Chen, Qiang Qiu

ICLR 2019 Overcoming the Disentanglement vs Reconstruction Trade-Off via Jacobian Supervision José Lezama

ECCV 2018 ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks Qiang Qiu, Jose Lezama, Alex Bronstein, Guillermo Sapiro

CVPR 2017 Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding Jose Lezama, Qiang Qiu, Guillermo Sapiro

CVPR 2014 Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains Jose Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel

CVPR 2011 Track to the Future: Spatio-Temporal Video Segmentation with Long-Range Motion Cues José Lezama, Karteek Alahari, Josef Sivic, Ivan Laptev