Ziyu Wan
Scholar

Ziyu Wan

Google Scholar ID: RfIHcSoAAAAJ
Microsoft GenAI
Computer VisionComputational PhotographyComputer Graphics
Citations & Impact
All-time
Citations
2,010
 
H-index
15
 
i10-index
16
 
Publications
20
 
Co-authors
34
list available
Resume (English only)
Academic Achievements
  • VLM4D: Towards Spatiotemporal Awareness in Vision Language Models, ICCV 2025
  • ε-VAE: Denoising as Visual Decoding, ICML 2025
  • AvatarArtist: Open-Domain 4D Avatarization, CVPR 2025
  • EG4D: Explicit Generation of 4D Object without Score Distillation, ICLR 2025
  • An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion, 3DV 2025, Best Paper Award
  • RaFE: Generative Radiance Fields Restoration, ECCV 2024, Oral
  • CAD: Photorealistic 3D Generation via Adversarial Distillation, CVPR 2024
  • HeadArtist: Text-conditioned 3D Head Generation with Self Score Distillation, SIGGRAPH 2024
  • High-Fidelity and Efficient Pluralistic Image Completion With Transformers, TPAMI 2024
  • Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields, TVCG 2024
  • Learning Neural Duplex Radiance Fields for Real-Time View Synthesis, CVPR 2023
  • 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.
Miscellany
  • Personal interests and hobbies not provided