I am a third-year Ph.D. student in Computer Science at National Yang Ming Chiao Tung University (NYCU), advised by Prof. Yu-Lun Liu at the Computational Photography Lab. My research focused on 3D Computer Vision and Generative Models.
Outside of work and research, I enjoy cooking🧑🍳, caring for animals🐱, and working out🏃.
GaMO reformulates sparse-view 3D reconstruction as multi-view outpainting, expanding the field of view with geometry-aware diffusion to achieve consistent, high-quality reconstructions efficiently from very few input views.
Voxify3D is a differentiable two-stage method that converts 3D meshes into stylized voxel art with discrete palette control. It preserves semantic structure using multi-view pixel-art supervision and CLIP-guided optimization.
Splannequin freezes dynamic Gaussian splats into crisp 3D scenes from monocular videos by anchoring artifacts to more reliable temporal states.
Introduces depth-aware unseen mask generation, Adaptive Guided Depth Diffusion (zero-shot), and SDEdit-based detail enhancement for multi-view coherence.
Converted natural images into layered SVGs for intuitive and editable graphics. Achieved structure-preserving vectorization for AI-assisted design and editing.
Email: yichuanh.cs12@nycu.edu.tw