Kyle Genova

According to our database1, Kyle Genova authored at least 28 papers between 2015 and 2026.

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Bibliography

2026
Image Generators are Generalist Vision Learners.
CoRR, April, 2026

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation.
CoRR, April, 2026

2025
Splattalk: 3D VQA with Gaussian Splatting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
LOC3DIFF: Local Diffusion for 3D Human Head Synthesis and Editing.
Proceedings of the Computer Vision - ECCV 2024, 2024

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing.
CoRR, 2023

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OpenScene: 3D Scene Understanding with Open Vocabularies.
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.
Trans. Mach. Learn. Res., 2022

Polynomial Neural Fields for Subband Decomposition and Manipulation.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
3D Representations for Learning to Reconstruct and Segment Shapes
PhD thesis, 2021

Differentiable Surface Rendering via Non-Differentiable Sampling.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiresolution Deep Implicit Functions for 3D Shape Representation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

IBRNet: Learning Multi-View Image-Based Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning 3D Semantic Segmentation with only 2D Image Supervision.
Proceedings of the International Conference on 3D Vision, 2021

2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Local Deep Implicit Functions for 3D Shape.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CvxNet: Learnable Convex Decomposition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Text-based editing of talking-head video.
ACM Trans. Graph., 2019

Deep Structured Implicit Functions.
CoRR, 2019

CvxNets: Learnable Convex Decomposition.
CoRR, 2019

Learning Shape Templates With Structured Implicit Functions.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Unsupervised Training for 3D Morphable Model Regression.
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.
CoRR, 2017

2015
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem.
Proceedings of the Algorithms - ESA 2015, 2015


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