3D Human Reconstruction
49 papers with code • 8 benchmarks • 13 datasets
Latest papers with no code
Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail
In this paper, we propose a new method called \emph{Ultraman} for fast reconstruction of textured 3D human models from a single image.
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models
In this work, we show that synthetic data created by generative models is complementary to computer graphics (CG) rendered data for achieving remarkable generalization performance on diverse real-world scenes for 3D human pose and shape estimation (HPS).
TIFu: Tri-directional Implicit Function for High-Fidelity 3D Character Reconstruction
Recent advances in implicit function-based approaches have shown promising results in 3D human reconstruction from a single RGB image.
HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction
This representation is composed of two surface layers that represent opaque and translucent regions on the clothed human body.
SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion
For the former, we employ a powerful generative diffusion model to hallucinate unseen back-view appearance based on the input images.
ReFit: Recurrent Fitting Network for 3D Human Recovery
We present Recurrent Fitting (ReFit), a neural network architecture for single-image, parametric 3D human reconstruction.
Humans as Light Bulbs: 3D Human Reconstruction from Thermal Reflection
The relatively hot temperature of the human body causes people to turn into long-wave infrared light sources.
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting
Detailed 3D reconstruction and photo-realistic relighting of digital humans are essential for various applications.
Shape of You: Precise 3D shape estimations for diverse body types
This paper presents Shape of You (SoY), an approach to improve the accuracy of 3D body shape estimation for vision-based clothing recommendation systems.
Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
In this work, we propose a novel method to track the 3D human, object, contacts between them, and their relative translation across frames from a single RGB camera, while being robust to heavy occlusions.