Accurately estimating 3D human pose and body shape from a single monocular image remains challenging, especially under poor lighting or occlusions. Traditional RGB-based methods struggle in such conditions, whereas single-pixel imaging (SPI) in the N...
High-fidelity 3D human body reconstruction is challenging, as single-view methods often lead to distortions due to self-occlusion, and the existing multi-view approaches either focus on pose or exhibit limited performance. This study presents an effi...
Three-dimensional Gaussian Splatting (3DGS) methods have achieved real-time rendering and high-precision modeling in 3D human avatar modeling. However, most existing methods perform Gaussian sphere cloning, splitting, and pruning without explicit geo...
Accurate and robust 3D human modeling from a single image presents significant challenges. Existing methods have shown potential, but they often fail to generate reconstructions that match the level of detail in the input image. These methods particu...
Reconstructing photorealistic and animatable whole-body avatars from monocular videos is a hot topic in computer vision and computer graphics. However, existing methods still face challenges due to the limited frequency response of single-scale geome...
Expressive human mesh recovery reconstructs the body, hands, and face from a single image. Whole-body models such as SMPL-X offer only coarse control over the face, whereas face models such as FLAME are head-only. Combining them requires maintaining...
The generation of 3D digital humans has traditionally relied on multi-view imaging systems and large-scale datasets, posing challenges in cost, accessibility, and real-time applicability. To overcome these limitations, this study presents an efficien...
We propose the ATGT3D an Animatable Texture Generation and Tracking for 3D Avatars, featuring the innovative design of the Eye Diffusion Module (EDM) and Pose Tracking Diffusion Module (PTDM), which are dedicated to high-quality eye texture generatio...
As Virtual Try-On (VTON) technology matures, 2D VTON methods based on diffusion models can now rapidly generate diverse and high-quality try-on results. However, with rising user demands for realism and immersion, many applications are shifting towar...