Leong, Oscar

7 publications

ICLR 2026 EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou

ICLR 2026 Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong

NeurIPS 2024 Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong

NeurIPS 2024 The Star Geometry of Critic-Based Regularizer Learning Oscar Leong, Eliza O'Reilly, Yong Sheng Soh

ICML 2020 Invertible Generative Models for Inverse Problems: Mitigating Representation Error and Dataset Bias Muhammad Asim, Mara Daniels, Oscar Leong, Ali Ahmed, Paul Hand

NeurIPSW 2019 Low Shot Learning with Untrained Neural Networks for Imaging Inverse Problems Oscar Leong, Wesam Sakla

NeurIPS 2018 Phase Retrieval Under a Generative Prior Paul Hand, Oscar Leong, Vlad Voroninski