Kyle Genova | DeepAI

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∙ 07/14/2023

NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis

We address the problem of generating realistic 3D motions of humans inte...

0 Nilesh Kulkarni, et al. ∙

∙ 03/06/2023

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

We address efficient and structure-aware 3D scene representation from im...

0 Xiaoshuai Zhang, et al. ∙

∙ 02/09/2023

Polynomial Neural Fields for Subband Decomposition and Manipulation

Neural fields have emerged as a new paradigm for representing signals, t...

3 Guandao Yang, et al. ∙

∙ 11/28/2022

OpenScene: 3D Scene Understanding with Open Vocabularies

Traditional 3D scene understanding approaches rely on labeled 3D dataset...

0 Songyou Peng, et al. ∙

∙ 05/09/2022

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

We present Panoptic Neural Fields (PNF), an object-aware neural scene re...

32 Abhijit Kundu, et al. ∙

∙ 11/25/2021

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

We present NeSF, a method for producing 3D semantic fields from posed RG...

0 Suhani Vora, et al. ∙

∙ 10/21/2021

Learning 3D Semantic Segmentation with only 2D Image Supervision

With the recent growth of urban mapping and autonomous driving efforts, ...

0 Kyle Genova, et al. ∙

∙ 09/12/2021

Multiresolution Deep Implicit Functions for 3D Shape Representation

We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...

8 Zhang Chen, et al. ∙

∙ 08/10/2021

Differentiable Surface Rendering via Non-Differentiable Sampling

We present a method for differentiable rendering of 3D surfaces that sup...

11 Forrester Cole, et al. ∙

∙ 02/25/2021

IBRNet: Learning Multi-View Image-Based Rendering

We present a method that synthesizes novel views of complex scenes by in...

0 Qianqian Wang, et al. ∙

∙ 12/12/2019

Deep Structured Implicit Functions

The goal of this project is to learn a 3D shape representation that enab...

22 Kyle Genova, et al. ∙

∙ 12/12/2019

Local Deep Implicit Functions for 3D Shape

The goal of this project is to learn a 3D shape representation that enab...

0 Kyle Genova, et al. ∙

∙ 11/26/2019

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

Computer vision models learn to perform a task by capturing relevant sta...

0 Zeyu Wang, et al. ∙

∙ 09/12/2019

CvxNets: Learnable Convex Decomposition

Any solid object can be decomposed into a collection of convex polytopes...

16 Boyang Deng, et al. ∙

∙ 09/12/2019

CvxNet: Learnable Convex Decomposition

Any solid object can be decomposed into a collection of convex polytopes...

0 Boyang Deng, et al. ∙

∙ 06/04/2019

Text-based Editing of Talking-head Video

Editing talking-head video to change the speech content or to remove fil...

4 Ohad Fried, et al. ∙

∙ 04/12/2019

Learning Shape Templates with Structured Implicit Functions

Template 3D shapes are useful for many tasks in graphics and vision, inc...

16 Kyle Genova, et al. ∙

∙ 06/15/2018

Unsupervised Training for 3D Morphable Model Regression

We present a method for training a regression network from image pixels ...

0 Kyle Genova, et al. ∙

∙ 04/07/2017

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

The use of rendered images, whether from completely synthetic datasets o...

0 Kyle Genova, et al. ∙

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