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09/12/2023
Learning Disentangled Avatars with Hybrid 3D Representations
Tremendous efforts have been made to learn animatable and photorealistic...
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06/12/2023
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Large text-to-image diffusion models have impressive capabilities in gen...
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03/14/2023
MeshDiffusion: Score-based Generative 3D Mesh Modeling
We consider the task of generating realistic 3D shapes, which is useful ...
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11/15/2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications
Recent advances of data-driven machine learning have revolutionized fiel...
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11/02/2022
Model-based Reinforcement Learning with a Hamiltonian Canonical ODE Network
Model-based reinforcement learning usually suffers from a high sample co...
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10/04/2022
Capturing and Animation of Body and Clothing from Monocular Video
While recent work has shown progress on extracting clothed 3D human avat...
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05/11/2021
Collaborative Regression of Expressive Bodies using Moderation
Recovering expressive humans from images is essential for understanding ...
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12/07/2020
Learning an Animatable Detailed 3D Face Model from In-The-Wild Images
While current monocular 3D face reconstruction methods can recover fine ...
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09/30/2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
In this paper, we study the problem of constrained robust (min-max) opti...
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03/25/2019
DenseBody: Directly Regressing Dense 3D Human Pose and Shape From a Single Color Image
Recovering 3D human body shape and pose from 2D images is a challenging ...
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03/21/2018