Garment3DGen: 3D Garment Stylization and Texture Generation
We introduce Garment3DGen a new method to synthesize 3D garment assets from a base
mesh given a single input image as guidance. Our proposed approach allows users to …
mesh given a single input image as guidance. Our proposed approach allows users to …
COSMU: Complete 3D human shape from monocular unconstrained images
We present a novel framework to reconstruct complete 3D human shapes from a given
target image by leveraging monocular unconstrained images. The objective of this work is to …
target image by leveraging monocular unconstrained images. The objective of this work is to …
Gaussian Surfel Splatting for Live Human Performance Capture
High-quality real-time rendering using user-affordable capture rigs is an essential property
of human performance capture systems for real-world applications. However, state-of-the-art …
of human performance capture systems for real-world applications. However, state-of-the-art …
Combining Neural Fields and Deformation Models for Non-Rigid 3D Motion Reconstruction from Partial Data
We introduce a novel, data-driven approach for reconstructing temporally coherent 3D
motion from unstructured and potentially partial observations of non-rigidly deforming …
motion from unstructured and potentially partial observations of non-rigidly deforming …
VR-Recon: Visual Refiner for Fine-Grained Human Reconstruction
H **e, Z Zhu, X Zhang - 2024 IEEE 4th International …, 2024 - ieeexplore.ieee.org
To reconstruct 3D human figures with fine-grained details from sparse views, this paper
proposes a novel framework called VR-Recon, which is based on a viewpoint refiner. In this …
proposes a novel framework called VR-Recon, which is based on a viewpoint refiner. In this …