I am VP Research at Stability AI, leading the generative vision research on image, video and 3D foundation models. In the past, I was a researcher at Google Research and Nvidia Research. I completed my PhD at Perceiving Systems department, Max-Planck Institute (MPI) for Intelligent Systems in Tübingen, Germany. My PhD advisor was Prof. Peter V. Gehler. I did my bachelors and masters in Computer Science at IIIT-Hyderabad, India.
At Stability AI, we strive to advance the state-of-the-art in vision foundation models with diverse applications in understanding, reconstruction and generation tasks in both 2D and 3D. A central research question is how to train generative models that can act as generic yet powerful priors for the visual world around us.
If you are interested in joining my Generative Vision team at Stability or research collaborations or internships, please drop me an email with your CV.
May, 2024 : Area chairing for BMVC’24 and NeurIPS’24.
March, 2024 : Papers on ‘3D awareness in foundation models’, ‘Multi-view diffusion’, ‘One-shot affordance learning’, ‘Neural BRDF decomposition’, ‘DiffusionLight’, ‘Shape Regression’, ‘NeRF Inpainting’, ‘Diffusion material control’, ‘Joint image generation and segmentation’, ‘Geometric semantic correspondences’, ‘HyperDreamBooth’ accepted to CVPR’24.
January, 2024 : A paper on ‘Controllable human motion generation’ accepted to ICLR’24.
January, 2024 : Area chairing for ICML’24 and ECCV’24.
November, 2023 : Joined Stability AI as a research lead.
October, 2023 : Invited talk on ‘3D of Everything from internet image collections’ at ICCV’23 tutorial on Learning with Noisy and Unlabeled Data.
October, 2023 : A paper on ‘Articulated hand-object pose estimation’ (oral) accepted to 3DV’24.
September, 2023 : Papers on ‘Articulated animal reconstruction from noisy internet images (ARTIC3D)’, ‘A dataset of image collections with near-perfect 3D annotations’ (NAVI, benchmark track), ‘Stable diffusion complements Dino for zero-shot semantic correspondences’ and ‘Using LLMs for layout generation (LayoutGPT)’ accepted to NeurIPS’23.
September, 2023 : Area chairing for ICLR’24.
varunjampani@gmail.com
Stability AI
Boston, MA, USA.
Refer to my Google Scholar page for a more up-to-date list of publications.
M. El. Banani, A. Raj, K. Maninis, A. Kar, Y. Li, M. Rubinstein, D. Sun, L. Guibas, J. Johnson, V. Jampani
Computer Vision and Pattern Recognition, CVPR’24
A. Engelhardt, A. Raj, M. Boss, Y. Zhang, A. Kar, Y. Li, D. Sun, R. M. Brualla, J. T. Barron, H. Lensch, V. Jampani
Computer Vision and Pattern Recognition, CVPR’24
G. Li, D. Sun, L. Sevilla-Lara, V. Jampani
Computer Vision and Pattern Recognition, CVPR’24
P. Sharma, V. Jampani, Y. Li, X. Jia, D. Lagun, F. Durand, W. T. Freeman, M. Matthews
Computer Vision and Pattern Recognition, CVPR’24 (oral)
P. Phongthawee, W. Chinchuthakun, N. Sinsunthithet, A. Raj, V. Jampani, P. Khungurn, S. Suwajanakorn
Computer Vision and Pattern Recognition, CVPR’24 (oral)
H. Hu, Z. Zhou, V. Jampani, S. Tulsiani
Computer Vision and Pattern Recognition, CVPR’24
L. Qi, L. Yang, W. Guo, Y. Xu, B. Du, V. Jampani, M. H. Yang
Computer Vision and Pattern Recognition, CVPR’24
Z. Huang, S. Stojanov, A. Thai, V. Jampani, J. M. Rehg
Computer Vision and Pattern Recognition, CVPR’24
J. Zhang, C. Herrmann, J. Hur, E. Chen, V. Jampani, D. Sun, M. H. Yang
Computer Vision and Pattern Recognition, CVPR’24
E Weber, A Holynski, V Jampani, S Saxena, N Snavely, A Kar, A. Kanazawa
Computer Vision and Pattern Recognition, CVPR’24
N. Ruiz, Y. Li, V. Jampani, W.Wei, T. Hou, Y. Pritch, N. Wadhwa, M. Rubinstein, K. Aberman
Computer Vision and Pattern Recognition, CVPR’24
Y. Xie, V. Jampani, L. Zhong, D. Sun, H. Jiang
International Conference on Learning Representations, ICLR’24
Z. Zhu, J. Wang, Y. Qin, D. Sun, V. Jampani, X. Wang
International Conference on 3D Vision, 3DV’24 (oral)
V. Jampani*, K. K. Maninis*, A. Engelhardt, A. Karpur, K. Truong, K. Sargent, S. Popov, A. Araujo, R. M. Brualla, K. Patel, D. Vlasic, V. Ferrari, A. Makadia, C. Liu, Y. Li, H. Zhou (*equal contribution)
Neural Information Processing Systems, NeurIPS’23
C-H. Yao, A. Raj, W-C. Hung, Y. Li, M. Rubinstein, M-H. Yang, V. Jampani
Neural Information Processing Systems, NeurIPS’23
W. Feng*, W. Zhu*, T-J. Fu, V. Jampani, A. Akula, X. He, S. Basu, X. E. Wang, W. Y. Wang (*equal contribution)
Neural Information Processing Systems, NeurIPS’23
J. Zhang, C. Herrmann, J. Hur, L. P. Cabrera, V. Jampani, D. Sun, M-H. Yang
Neural Information Processing Systems, NeurIPS’23
A. Raj, S. Kaza, B. Poole, M. Niemeyer, N. Ruiz, B. Mildenhall, S. Zada, K. Aberman, M. Rubinstein, J. Barron, Y, Li, V. Jampani
International Conference on Computer Vision, ICCV’23
pdf / project page / video
K. Gupta, V. Jampani, C. Esteves, A. Shrivastava, A. Makadia, N. Snavely, A. Kar
International Conference on Computer Vision, ICCV’23
pdf / project page / video
Z. Cheng, C. Esteves, V. Jampani, A. Kar, S. Maji, A. Makadia
International Conference on Computer Vision, ICCV’23
A. Akula, B. Driscoll, P. Narayana, S. Changpinyo, Z. Jia, S. Damle, G. Pruthi, S. Basu, L. Guibas, W. T. Freeman, Y. Li, V. Jampani
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video
C-H. Yao, W-C. Hung, Y. Li, M. Rubinstein, M-H. Yang, V. Jampani
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video / code (github)
G. Li, V. Jampani, D. Sun, L. Sevilla-Lara
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video / code (github)
N. Ruiz, Y. Li, V. Jampani, Y. Pritch, M. Rubinstein, K. Aberman (oral, best student paper honorable mention)
Computer Vision and Pattern Recognition, CVPR’23
Z. Huang, V. Jampani, N. A. Thai, Y. Li, S. Stojanov, J. M. Rehg
Computer Vision and Pattern Recognition, CVPR’23
pdf / project page / video / code (github)
H. Rangwani, L. Bansal, K. Sharma, T. Karmali, V. Jampani, R. V. Babu
Computer Vision and Pattern Recognition, CVPR’23
W. Feng, X. He, T. J. Fu, V. Jampani, A. Akula, P. Narayana, S. Basu, X. E. Wang, W. Y. Wang
International Conference on Learning Representations, ICLR’23
C-H. Yao, W-C. Hung, Y. Li, M. Rubinstein, M-H. Yang, V. Jampani
Neural Information Processing Systems, NeurIPS’22
pdf / project page / video / code (github)
M. Boss, A. Engelhardt, A. Kar, Y. Li, D. Sun, J. Barron, H. Lensch, V. Jampani
Neural Information Processing Systems, NeurIPS’22
pdf / project page / video / code (github)
G. Yang, S. Benaim, V. Jampani, K. Genova, J. Barron, T. Funkhouser, B. Hariharan, S. Belongie
Neural Information Processing Systems, NeurIPS’22
Learning based techniques for better inference in several computer vision models ranging from inverse graphics to freely parameterized neural networks.
V. Jampani
PhD Thesis, MPI for Intelligent Systems and University of Tübingen, December, 2016
Eye tracking experimental studies and models for X-Ray Image Perception and Diagnosis.
V. Jampani
Master Thesis, IIIT-Hyderabad, January, 2013