GRA combines a microfacet-relit 3D avatar with a fine-tuned video diffusion model to generate photorealistic, freely viewable relit videos of a person under arbitrary environment lighting.
arXiv preprint arXiv:2407.08414 (2024)
3 Pith papers cite this work. Polarity classification is still indexing.
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TrioMan is a tri-module data augmentation framework using a Generator for pose/camera perturbations, a Refiner with one-step diffusion, and an Examiner with dual-branch attention to improve 3D avatar learning from monocular videos, claiming better results than prior methods on two benchmarks.
LUNA is an LBS-free neural animation model that maps 2D controls to 3D Gaussian deformations via a transformer motion regressor and hybrid supervision for realistic motion and zero-shot generalization.
citing papers explorer
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Generative Relightable Avatars
GRA combines a microfacet-relit 3D avatar with a fine-tuned video diffusion model to generate photorealistic, freely viewable relit videos of a person under arbitrary environment lighting.
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Generator-Refiner-Examiner: A Tri-Module Data Augmentation Framework for 3D Human Avatar Learning from Monocular Videos
TrioMan is a tri-module data augmentation framework using a Generator for pose/camera perturbations, a Refiner with one-step diffusion, and an Examiner with dual-branch attention to improve 3D avatar learning from monocular videos, claiming better results than prior methods on two benchmarks.
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LUNA: Learning Universal 3D Human Animation Beyond Skinning
LUNA is an LBS-free neural animation model that maps 2D controls to 3D Gaussian deformations via a transformer motion regressor and hybrid supervision for realistic motion and zero-shot generalization.