Lifelike 3D Human Generation
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Benchmarks
THuman2.0 Dataset
Most implemented
Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models
Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction
Papers
Human-VDM: Learning Single-Image 3D Human Gaussian Splatting from Video Diffusion Models
Generating lifelike 3D humans from a single RGB image remains a challenging task in computer vision, as it requires accurate modeling of geometry, high-quality texture, and plausible unseen parts. Existing methods typica…
Lifelike 3D Human GenerationUltraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
3D human body reconstruction has been a challenge in the field of computer vision. Previous methods are often time-consuming and difficult to capture the detailed appearance of the human body. In this paper, we propose a…
Lifelike 3D Human GenerationSIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction
Creating high-quality 3D models of clothed humans from single images for real-world applications is crucial. Despite recent advancements, accurately reconstructing humans in complex poses or with loose clothing from in-t…
Lifelike 3D Human GenerationSiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
A long-standing goal of 3D human reconstruction is to create lifelike and fully detailed 3D humans from single-view images. The main challenge lies in inferring unknown body shapes, appearances, and clothing details in a…
Lifelike 3D Human GenerationPaMIR: Parametric Model-Conditioned Implicit Representation for Image-based Human Reconstruction
Modeling 3D humans accurately and robustly from a single image is very challenging, and the key for such an ill-posed problem is the 3D representation of the human models. To overcome the limitations of regular 3D repres…
Lifelike 3D Human GenerationPIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object. Using PIFu, we propose an …
3D Human Pose Estimation3D Human Reconstruction3D Object Reconstruction3D Object Reconstruction From A Single Image+4