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04/21/2023
BoDiffusion: Diffusing Sparse Observations for Full-Body Human Motion Synthesis
Mixed reality applications require tracking the user's full-body motion ...
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04/17/2023
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
With the recent surge in popularity of AR/VR applications, realistic and...
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03/25/2023
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
Surface reconstruction has been seeing a lot of progress lately by utili...
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03/15/2023
Re-ReND: Real-time Rendering of NeRFs across Devices
This paper proposes a novel approach for rendering a pre-trained Neural ...
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12/05/2022
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors
We present a method that accelerates reconstruction of 3D scenes and obj...
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11/12/2022
3D-Aware Encoding for Style-based Neural Radiance Fields
We tackle the task of NeRF inversion for style-based neural radiance fie...
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05/09/2022
Single-view 3D Body and Cloth Reconstruction under Complex Poses
Recent advances in 3D human shape reconstruction from single images have...
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01/06/2022
Enhancing Egocentric 3D Pose Estimation with Third Person Views
In this paper, we propose a novel approach to enhance the 3D body pose e...
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11/13/2021
PhysXNet: A Customizable Approach for LearningCloth Dynamics on Dressed People
We introduce PhysXNet, a learning-based approach to predict the dynamics...
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07/26/2021
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction
Recent learning approaches that implicitly represent surface geometry us...
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03/11/2021
SMPLicit: Topology-aware Generative Model for Clothed People
In this paper we introduce SMPLicit, a novel generative model to jointly...
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12/14/2020
FaceDet3D: Facial Expressions with 3D Geometric Detail Prediction
Facial Expressions induce a variety of high-level details on the 3D face...
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11/27/2020
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Neural rendering techniques combining machine learning with geometric re...
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12/15/2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
Flow-based generative models have highly desirable properties like exact...
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04/09/2019
3DPeople: Modeling the Geometry of Dressed Humans
Recent advances in 3D human shape estimation build upon parametric repre...
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04/06/2019
Context-aware Human Motion Prediction
The problem of predicting human motion given a sequence of past observat...
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03/28/2019
Fast video object segmentation with Spatio-Temporal GANs
Learning descriptive spatio-temporal object models from data is paramoun...
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09/27/2018
Geometry-Aware Network for Non-Rigid Shape Prediction from a Single View
We propose a method for predicting the 3D shape of a deformable surface ...
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09/27/2018
Unsupervised Person Image Synthesis in Arbitrary Poses
We present a novel approach for synthesizing photo-realistic images of p...
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07/24/2018
