6 papers
CGHair: Compact Gaussian Hair Reconstruction with Card Clustering
Haimin Luo, Srinjay Sarkar, Albert Mosella-Montoro +2
We present a compact pipeline for high-fidelity hair reconstruction from multi-view images. While recent 3D Gaussian Splatting (3DGS) methods achieve realistic results, they often…
From Blurry to Believable: Enhancing Low-quality Talking Heads with 3D Generative Priors
Ding-Jiun Huang, Yuanhao Wang, Shao-Ji Yuan +4
Creating high-fidelity, animatable 3D talking heads is crucial for immersive applications, yet often hindered by the prevalence of low-quality image or video sources, which yield p…
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
Haoye Dong, Aviral Chharia, Wenbo Gou +2
3D Hand reconstruction from a single RGB image is challenging due to the articulated motion, self-occlusion, and interaction with objects. Existing SOTA methods employ attention-ba…
FabricDiffusion: High-Fidelity Texture Transfer for 3D Garments Generation from In-The-Wild Clothing Images
Cheng Zhang, Yuanhao Wang, Francisco Vicente Carrasco +4
We introduce FabricDiffusion, a method for transferring fabric textures from a single clothing image to 3D garments of arbitrary shapes. Existing approaches typically synthesize te…
Generalizable Human Gaussians for Sparse View Synthesis
Youngjoong Kwon, Baole Fang, Yixing Lu +9
Recent progress in neural rendering has brought forth pioneering methods, such as NeRF and Gaussian Splatting, which revolutionize view rendering across various domains like AR/VR,…
Taming 3DGS: High-Quality Radiance Fields with Limited Resources
Saswat Subhajyoti Mallick, Rahul Goel, Bernhard Kerbl +3
3D Gaussian Splatting (3DGS) has transformed novel-view synthesis with its fast, interpretable, and high-fidelity rendering. However, its resource requirements limit its usability.…