Kyle Genova

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 34

Top Topics

Top Venues

ACM Trans. Graph.

Publications

Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR (2023)
Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CVPR (2023)
Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie
Polynomial Neural Fields for Subband Decomposition and Manipulation. CoRR (2023)
Songyou Peng, Kyle Genova, Chiyu "Max" Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser
OpenScene: 3D Scene Understanding with Open Vocabularies. CVPR (2023)
Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CoRR (2023)
Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas A. Funkhouser, Chen Change Loy, Yinda Zhang
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing. CoRR (2023)
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR (2022)
Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR (2022)
Songyou Peng, Kyle Genova, Chiyu "Max" Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser
OpenScene: 3D Scene Understanding with Open Vocabularies. CoRR (2022)
Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie
Polynomial Neural Fields for Subband Decomposition and Manipulation. NeurIPS (2022)
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. Trans. Mach. Learn. Res. 2022 (2022)
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser
IBRNet: Learning Multi-View Image-Based Rendering. CoRR (2021)
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. CoRR (2021)
Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang
Multiresolution Deep Implicit Functions for 3D Shape Representation. ICCV (2021)
Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang
Differentiable Surface Rendering via Non-Differentiable Sampling. CoRR (2021)
Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser
IBRNet: Learning Multi-View Image-Based Rendering. CVPR (2021)
Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas A. Funkhouser
Learning 3D Semantic Segmentation with only 2D Image Supervision. 3DV (2021)
Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas A. Funkhouser
Learning 3D Semantic Segmentation with only 2D Image Supervision. CoRR (2021)
Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang
Multiresolution Deep Implicit Functions for 3D Shape Representation. CoRR (2021)
Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang
Differentiable Surface Rendering via Non-Differentiable Sampling. ICCV (2021)
Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. CVPR (2020)
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
CvxNet: Learnable Convex Decomposition. CVPR (2020)
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser
Local Deep Implicit Functions for 3D Shape. CVPR (2020)
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser
Deep Structured Implicit Functions. CoRR (2019)
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala
Text-based editing of talking-head video. ACM Trans. Graph. 38 (4) (2019)
Zeyu Wang, Klint Qinami, Yannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. CoRR (2019)
Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala
Text-based Editing of Talking-head Video. CoRR (2019)
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi
CvxNets: Learnable Convex Decomposition. CoRR (2019)
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser
Learning Shape Templates With Structured Implicit Functions. ICCV (2019)
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser
Learning Shape Templates with Structured Implicit Functions. CoRR (2019)
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman
Unsupervised Training for 3D Morphable Model Regression. CVPR (2018)
Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman
Unsupervised Training for 3D Morphable Model Regression. CoRR (2018)
Kyle Genova, David P. Williamson
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem. Algorithmica 78 (4) (2017)
Kyle Genova, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser
Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes. CoRR (2017)
Kyle Genova, David P. Williamson
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem. ESA (2015)
Kyle Genova, David P. Williamson
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem. CoRR (2015)