Scholar
Zhaoyang Lyu
Google Scholar ID: gkXFhbwAAAAJ
PhD of Information Engineering, The Chinese University of Hong Kong
machine learning
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Citations & Impact
All-time
Citations
1,599
H-index
12
i10-index
12
Publications
20
Co-authors
0
Contact
Email
lvzhaoyang@pjlab.org.cn
GitHub
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Publications
8 items
PnP-U3D: Plug-and-Play 3D Framework Bridging Autoregression and Diffusion for Unified Understanding and Generation
2026
Cited
0
RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation
arXiv.org · 2026
Cited
0
MesaTask: Towards Task-Driven Tabletop Scene Generation via 3D Spatial Reasoning
2025
Cited
0
InternScenes: A Large-scale Simulatable Indoor Scene Dataset with Realistic Layouts
2025
Cited
0
MeshCoder: LLM-Powered Structured Mesh Code Generation from Point Clouds
2025
Cited
0
STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
2025
Cited
0
Infinite Mobility: Scalable High-Fidelity Synthesis of Articulated Objects via Procedural Generation
2025
Cited
0
GaussianAnything: Interactive Point Cloud Flow Matching For 3D Object Generation
2024
Cited
0
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.
Co-authors
0 total
Co-authors: 0 (list not available)
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