FDNeRF: Few-Shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing, SIGGRAPH Asia 2022
Bringing Old Films Back to Life, CVPR 2022
Old Photo Restoration via Deep Latent Space Translation, TPAMI 2022, 15.3k+ stars!
Adaptive Joint Optimization for 3D Reconstruction with Differentiable Rendering, TVCG 2022
High-Fidelity Pluralistic Image Completion with Transformers, ICCV 2021
Visual Structure Constraint for Transductive Zero-Shot Learning in the Wild, IJCV 2021
PD-GAN: Probabilistic Diverse GAN for Image Inpainting, CVPR 2021
DeFLOCNet: Deep Image Editing via Flexible Low-level Controls, CVPR 2021
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud, TVCG 2021
Research Experience
Working at Microsoft GenAI on OpenAI and Microsoft model training projects.
Education
Received a Ph.D. from the Department of Computer Science at City University of Hong Kong in 2024, advised by Prof. Jing Liao.
Background
Currently a senior researcher at Microsoft GenAI, with research interests in multi-modality generation, computational photography, and neural rendering.