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SEEAvatar: Photorealistic Text-to-3D Avatar Generation with Constrained Geometry and Appearance
Paper • 2312.08889 • Published • 11 -
Towards Practical Capture of High-Fidelity Relightable Avatars
Paper • 2309.04247 • Published • 9 -
Learning Disentangled Avatars with Hybrid 3D Representations
Paper • 2309.06441 • Published • 4 -
Text-Guided Generation and Editing of Compositional 3D Avatars
Paper • 2309.07125 • Published • 6
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Collections including paper arxiv:2309.07125
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TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
Paper • 2308.08545 • Published • 33 -
AniPortraitGAN: Animatable 3D Portrait Generation from 2D Image Collections
Paper • 2309.02186 • Published • 21 -
3D Gaussian Splatting for Real-Time Radiance Field Rendering
Paper • 2308.04079 • Published • 170 -
ControlMat: A Controlled Generative Approach to Material Capture
Paper • 2309.01700 • Published • 13
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OmnimatteRF: Robust Omnimatte with 3D Background Modeling
Paper • 2309.07749 • Published • 7 -
AudioSR: Versatile Audio Super-resolution at Scale
Paper • 2309.07314 • Published • 25 -
Generative Image Dynamics
Paper • 2309.07906 • Published • 52 -
MagiCapture: High-Resolution Multi-Concept Portrait Customization
Paper • 2309.06895 • Published • 27
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Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model
Paper • 2309.03550 • Published • 11 -
Text-Guided Generation and Editing of Compositional 3D Avatars
Paper • 2309.07125 • Published • 6 -
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Paper • 2310.11784 • Published • 10 -
GaussianDreamer: Fast Generation from Text to 3D Gaussian Splatting with Point Cloud Priors
Paper • 2310.08529 • Published • 17
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MVDream: Multi-view Diffusion for 3D Generation
Paper • 2308.16512 • Published • 102 -
Learning Disentangled Avatars with Hybrid 3D Representations
Paper • 2309.06441 • Published • 4 -
Dynamic Mesh-Aware Radiance Fields
Paper • 2309.04581 • Published • 6 -
Towards Practical Capture of High-Fidelity Relightable Avatars
Paper • 2309.04247 • Published • 9