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08/16/2023
SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
Existing methods for the 4D reconstruction of general, non-rigidly defor...
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04/10/2023
Neural Lens Modeling
Recent methods for 3D reconstruction and rendering increasingly benefit ...
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12/12/2022
Neural Assets: Volumetric Object Capture and Rendering for Interactive Environments
Creating realistic virtual assets is a time-consuming process: it usuall...
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12/07/2022
SSDNeRF: Semantic Soft Decomposition of Neural Radiance Fields
Neural Radiance Fields (NeRFs) encode the radiance in a scene parameteri...
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12/01/2022
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
The capture and animation of human hair are two of the major challenges ...
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06/17/2022
TAVA: Template-free Animatable Volumetric Actors
Coordinate-based volumetric representations have the potential to genera...
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05/17/2022
Self-supervised Neural Articulated Shape and Appearance Models
Learning geometry, motion, and appearance priors of object classes is im...
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01/12/2022
Virtual Elastic Objects
We present Virtual Elastic Objects (VEOs): virtual objects that not only...
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12/27/2021
Human View Synthesis using a Single Sparse RGB-D Input
Novel view synthesis for humans in motion is a challenging computer visi...
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12/13/2021
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
Capturing and rendering life-like hair is particularly challenging due t...
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03/03/2021
Neural 3D Video Synthesis
We propose a novel approach for 3D video synthesis that is able to repre...
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12/23/2020
ANR: Articulated Neural Rendering for Virtual Avatars
The combination of traditional rendering with neural networks in Deferre...
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12/22/2020
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction ...
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08/01/2020
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video
We present TexMesh, a novel approach to reconstruct detailed human meshe...
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04/16/2020
Fast Differentiable Raycasting for Neural Rendering using Sphere-based Representations
Differentiable rendering in combination with deep learning promises grea...
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04/08/2020
ARCH: Animatable Reconstruction of Clothed Humans
In this paper, we propose ARCH (Animatable Reconstruction of Clothed Hum...
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01/06/2020
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations
The goal of many computer vision systems is to transform image pixels in...
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08/24/2019
Efficient Learning on Point Clouds with Basis Point Sets
With the increased availability of 3D scanning technology, point clouds ...
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08/17/2018
Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation
Direct prediction of 3D body pose and shape remains a challenge even for...
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05/11/2017
A Generative Model of People in Clothing
We present the first image-based generative model of people in clothing ...
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03/28/2017
Early Stopping without a Validation Set
Early stopping is a widely used technique to prevent poor generalization...
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01/10/2017
Unite the People: Closing the Loop Between 3D and 2D Human Representations
3D models provide a common ground for different representations of human...
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07/27/2016
