A 3D-prior-guided diffusion model for one-shot novel view and pose human image synthesis that claims to outperform prior 2D-pose and NeRF-based methods.
Human101: Training 100+fps human gaussians in 100s from 1 view,
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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.
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.
citing papers explorer
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One-Shot Novel View and Pose Human Image Synthesis via 3D Prior Guided Diffusion Model
A 3D-prior-guided diffusion model for one-shot novel view and pose human image synthesis that claims to outperform prior 2D-pose and NeRF-based methods.
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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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A Survey on 3D Gaussian Splatting
A survey compiling principles, applications, benchmarks, and challenges of 3D Gaussian Splatting for explicit 3D scene representation.