Shichong (Nio) Peng
Shichong (Nio) Peng
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Ph.D. Candidate at SFU
Ph.D. Candidate at SFU
I am a Ph.D. candidate at Simon Fraser University in the department of computing science supervised by Ke Li. I received my Master's degree from UC San Diego and Bachelor's degree in computer science from University of Toronto. My research focuses on generative model and 3D neural rendering. My goal is to develop methods that can better aid 3D model rendering, generation and animation.
Publications & Manuscripts
Publications & Manuscripts
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis
Chirag Vashist, Shichong Peng, Ke Li
ECCV 2024. Project Page.
PAPR in Moition: Seamless Point-level 3D Scene Interpolation
Shichong Peng, Yanshu Zhang, Ke Li
CVPR 2024 Highlight. Project Page.
PAPR: Proximity Attention Point Rendering
Yanshu Zhang*, Shichong Peng*, Alireza Moazeni, Ke Li
NeurIPS 2023 Spotlight. Project Page.
How Good Are Deep Generative Models for Solving Inverse problems?
Shichong Peng, Alireza Moazeni, Ke Li
NeurIPS 2023 Workshop. Project Page.
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling
Mehran Aghabozorgi, Shichong Peng, Ke Li
ICML 2023. Link to paper.
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
Shichong Peng, Alireza Moazeni, Ke Li
NeurIPS 2022. Project Page.
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
Ke Li*, Shichong Peng*, Tianhao Zhang*, Jitendra Malik
IJCV 2020. Link to paper.
Better Knowledge Retention through Metric Learning
Ke Li*, Shichong Peng*, Kailas Vodrahalli*, Jitendra Malik
arXiv preprint 2020. Link to paper.
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