Digital Human AI Research
Digital Human AI Research
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Jan Kautz
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COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning
3D Reconstruction with Generalizable Neural Fields using Scene Priors
PACE: Human and Camera Motion Estimation from in-the-wild Videos
Generalizable One-shot Neural Head Avatar
PhysDiff: Physics-Guided Human Motion Diffusion Model
RANA: Relightable and Articulated Neural Avatars
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization
Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
DRaCoN--Differentiable Rasterization Conditioned Neural Radiance Fields for Articulated Avatars
KAMA: 3D Keypoint Aware Body Mesh Articulation
Self-Supervised Object Detection via Generative Image Synthesis
Adversarial Motion Modelling Helps Semi-Supervised Hand Pose Estimation
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
Learning to Track Instances without Video Annotations
Weakly-Supervised Physically Unconstrained Gaze Estimation
Learning continuous environment fields via implicit functions
Online adaptation for consistent mesh reconstruction in the wild
Self-supervised single-view 3D reconstruction via semantic consistency
Self-Supervised Viewpoint Learning from Image Collections
Weakly-Supervised 3D Human Pose Learning via Multi-view Images in the Wild
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