I am a research scientist at Google Zurich, where I work on computer vision and machine learning with the focus on Neural Rendering and Generative Neural Networks.
LitNeRF: Intrinsic Radiance Decomposition for High-Quality View Synthesis and Relighting of FacesK. Sarkar, M Buehler, G. Li, D. Wang, D. Vicini, J. Riviere, Y. Zhang, S. Orts, P. Gotardo, T. Beeler, A. Meka
SIGGRAPH Asia 2023
[paper]
[project page]
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis.
M. Buehler, K. Sarkar, T. Shah, G. Li, D. Wang, L. Helminger, S. Orts-Escolano, D. Lagun, O. Hilliges, T. Beeler, A. Meka
International Conference for Computer Vision (ICCV), 2023
[paper]
[project page]
MonoAvatar: Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos.
Z. Bai, F. Tan, Z. Huang, K. Sarkar, D. Tang, D. Qiu, A. Meka, R. Du, M. Dou, S. Orts, R. Pandey, P. Tan, T. Beeler, S. Fanello and Y. Zhang.
Computer Vision and Pattern Recognition (CVPR), 2023
[paper]
[project page]
Scene-aware Egocentric 3D Human Pose Estimation.
J. Wang, D. Luvizon, L. Liu, W. Xu, K. Sarkar and C. Theobalt.
Computer Vision and Pattern Recognition (CVPR), 2023
[paper]
[project page]
A Motion Matching-based Framework for Controllable Gesture Synthesis from Speech.
I. Habibie, M. Elgharib, K. Sarkar, A. Abdullah, S. Nyatsanga, M. Neff and C. Theobalt.
SIGGRAPH 2022
[paper]
[project page]
Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision.
J. Wang, L. Liu, W. Xu, K. Sarkar, D. Luvizon and C. Theobalt.
Computer Vision and Pattern Recognition (CVPR), 2022
[paper]
[project page]
Style and Pose Control for Image Synthesis of Humans from a Single Monocular View.K. Sarkar, V. Golyanik, L. Liu and C. Theobalt.
arXiv.org, 2021. (Withdrawn from SIGGRAPH 21)
[paper]
[project page]
HumanGAN: A Generative Model of Humans Images K. Sarkar, L. Liu, V. Golyanik, and C. Theobalt.
International Conference on 3D Vision (3DV Oral), 2021 (Withdrawn from CVPR 2021)
[paper]
[project page]
Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control.
L. Liu, M. Habermann, V. Rudnev, K. Sarkar, J. Gu and C. Theobalt.
SIGGRAPH Asia 2021
[paper]
[project page]
EgoRenderer: Rendering Human Avatars from Egocentric Camera Images
T. Hu, K. Sarkar, L. Liu, M Zwicker and C. Theobalt.
International Conference on Computer Vision (ICCV), 2021
[paper]
[project page]
Estimating Egocentric 3D Human Pose in Global Space
J. Wang, L. Liu, W. Xu, K. Sarkar and C. Theobalt.
International Conference on Computer Vision (ICCV), 2021
[paper]
[project page]
Pose-Guided Human Animation from a Single Image in the Wild.
J. S. Yoon, L. Liu, V. Golyanik, K. Sarkar, H. S. Park, and C. Theobalt.
Computer Vision and Pattern Recognition (CVPR), 2021
[paper]
[video]
[project page]
Simple domain adaptation for CAD based object recognition. K. Sarkar and D. Stricker.
International Conference on Pattern Recognition Applications and Methods, 2019.
[paper]
Structured low-rank matrix factorization for point-cloud denoising.K. Sarkar, F. Bernard, K. Varanasi, C. Theobal, and D. Stricker.
International Conference on 3D Vision (3DV), 2018
[paper]
[supplement]
Learning 3d shapes as multi-layered height-maps using 2d convolutional networks. K. Sarkar, B. Hampiholi, K. Varanasi, and D. Stricker.
European Conference on Computer Vision (ECCV), 2018.
[paper]
[supplement]
Denoising of Point-clouds Based on Structured Dictionary Learning. K. Sarkar, F. Bernard, K. Varanasi, C. Theobal, and D. Stricker.
Symposium on Geometry Processing, Eurographics Association (SGP), 2018. (invited poster)
[paper]
3D Shape Processing by Convolutional Denoising Autoencoders on Local Patches.K. Sarkar, K. Varanasi, and D. Stricker.
Winter Conference on Applications of Computer Vision (WACV), 2018
[paper]
Learning quadrangulated patches for 3d shape parameterization and completion.K. Sarkar, K. Varanasi, and D. Stricker.
International Conference on 3D Vision (3DV), 2017
[paper]
Trained 3d models for CNN based object recognition.K. Sarkar, K. Varanasi, and D. Stricker.
International Conference on Computer Vision Theory and Applications (VISAPP), 2017
[paper]
Feature-augmented trained models for 6dof object recognition and camera calibration.K. Sarkar, A. Pagani, and D. Stricker.
International Conference on Computer Vision Theory and Applications (VISAPP), 2016
[paper]