Z
Scholar

Zhaoyang Lyu

Google Scholar ID: gkXFhbwAAAAJ
PhD of Information Engineering, The Chinese University of Hong Kong
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Emaillvzhaoyang@pjlab.org.cnGitHubOpen ↗
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Resume (English only)
Academic Achievements
  • GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation (arXiv preprint)
  • SLIDE: Controllable Mesh Generation Through Sparse Latent Point Diffusion Models (CVPR 2023)
  • A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion (ICLR 2022)
  • MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR (arXiv preprint)
  • Accelerating Diffusion Models via Early Stop of the Diffusion Process (arXiv preprint)
  • Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR 2023, Equal Contribution)
  • DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior (arXiv preprint)
  • Point Cloud Pre-training with Diffusion Models (CVPR 2024)
  • POPQORN: Quantifying Robustness of Recurrent Neural Networks (ICML 2019, Equal Contribution)
  • Fastened CROWN: Tightened Neural Network Robustness Certificates (AAAI 2020)
  • Towards Evaluating and Training Verifiably Robust Neural Networks (CVPR 2021)
  • Guided Diffusion Model for Adversarial Purification (arXiv preprint, Equal Contribution)
Research Experience
  • Working in a research group at Shanghai AI Laboratory, focusing on content generation and digitization.
Background
  • A researcher at Shanghai AI Laboratory, focusing on 3D content generation, including 3D object and scene generation.
Miscellany
  • Looking for highly motivated interns in 3D generative models.
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