Kyle Genova

According to our database, Kyle Genova authored at least 21 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing.

Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas A. Funkhouser, Chen Change Loy, Yinda Zhang

CoRR, 2023

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis.

Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas

CoRR, 2023

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision.

Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OpenScene: 3D Scene Understanding with Open Vocabularies.

Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.

Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth

Trans. Mach. Learn. Res., 2022

Polynomial Neural Fields for Subband Decomposition and Manipulation.

Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation.

Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Differentiable Surface Rendering via Non-Differentiable Sampling.

Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiresolution Deep Implicit Functions for 3D Shape Representation.

Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

IBRNet: Learning Multi-View Image-Based Rendering.

Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning 3D Semantic Segmentation with only 2D Image Supervision.

Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas A. Funkhouser

Proceedings of the International Conference on 3D Vision, 2021

2020

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation.

Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Local Deep Implicit Functions for 3D Shape.

Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CvxNet: Learnable Convex Decomposition.

Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Text-based editing of talking-head video.

Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala

ACM Trans. Graph., 2019

Deep Structured Implicit Functions.

Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser

CoRR, 2019

CvxNets: Learnable Convex Decomposition.

Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi

CoRR, 2019

Learning Shape Templates With Structured Implicit Functions.

Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Unsupervised Training for 3D Morphable Model Regression.

Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes.

Kyle Genova, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser

CoRR, 2017

An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem.

Kyle Genova, David P. Williamson

Algorithmica, 2017