A Face-to-Face Neural Conversation Model. - Hang Chu; Daiqing Li; Sanja Fidler (CVPR, 2018)

Neural Turtle Graphics for Modeling City Road Layouts. - Hang Chu; Daiqing Li; David Acuna; Amlan Kar; Maria Shugrina; Xinkai Wei; Ming-Yu Liu 001; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

Federated Simulation for Medical Imaging. - Daiqing Li; Amlan Kar; Nishant Ravikumar; Alejandro F. Frangi; Sanja Fidler (MICCAI (1), 2020)

Fed-Sim: Federated Simulation for Medical Imaging. - Daiqing Li; Amlan Kar; Nishant Ravikumar; Alejandro F. Frangi; Sanja Fidler (CoRR, 2020)

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. - Daiqing Li; Junlin Yang; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (CVPR, 2021)

EditGAN: High-Precision Semantic Image Editing. - Huan Ling; Karsten Kreis; Daiqing Li; Seung Wook Kim 001; Antonio Torralba 001; Sanja Fidler (NeurIPS, 2021)

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. - Seung Wook Kim 001; Karsten Kreis; Daiqing Li; Antonio Torralba 001; Sanja Fidler (CVPR, 2022)

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Daiqing Li; Huan Ling; Seung Wook Kim 001; Karsten Kreis; Sanja Fidler; Antonio Torralba 001 (CVPR, 2022)

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. - Rafid Mahmood; James Lucas; David Acuna; Daiqing Li; Jonah Philion; José M. Álvarez 004; Zhiding Yu; Sanja Fidler; Marc T. Law (CVPR, 2022)

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. - Jun Gao 004; Tianchang Shen; Zian Wang; Wenzheng Chen; Kangxue Yin; Daiqing Li; Or Litany; Zan Gojcic; Sanja Fidler (NeurIPS, 2022)

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. - Daiqing Li; Huan Ling; Seung Wook Kim 001; Karsten Kreis; Adela Barriuso; Sanja Fidler; Antonio Torralba 001 (CoRR, 2022)

NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. - Seung Wook Kim 001; Bradley Brown; Kangxue Yin; Karsten Kreis; Katja Schwarz; Daiqing Li; Robin Rombach; Antonio Torralba 001; Sanja Fidler (CVPR, 2023)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models. - Daiqing Li; Huan Ling; Amlan Kar; David Acuna; Seung Wook Kim 001; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (ICCV, 2023)

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. - Zelong Liu; Alexander Zhou 002; Arnold Yang; Alara Yilmaz; Maxwell Yoo; Mikey Sullivan; Catherine Zhang 003; James Grant; Daiqing Li; Zahi A. Fayad; Sean Huver; Timothy Deyer; et al. (CoRR, 2023)

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. - Zelong Liu; Peyton Smith; Alexander Lautin; Jieshen Zhou; Maxwell Yoo; Mikey Sullivan; Haorun Li; Louisa Deyer; Alexander Zhou 002; Arnold Yang; Alara Yilmaz; Catherine Zhang 003; et al. (AMAI@MICCAI, 2024)

Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation. - Daiqing Li; Aleks Kamko; Ehsan Akhgari; Ali Sabet; Linmiao Xu; Suhail Doshi (CoRR, 2024)

Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models. - Bingchen Liu; Ehsan Akhgari; Alexander Visheratin; Aleks Kamko; Linmiao Xu; Shivam Shrirao; Joao Souza; Suhail Doshi; Daiqing Li (CoRR, 2024)

Cube: A Roblox View of 3D Intelligence. - Kiran Bhat; Nishchaie Khanna; Karun Channa; Tinghui Zhou; Yiheng Zhu; Xiaoxia Sun; Charles Shang; Anirudh Sudarshan; Maurice Chu; Daiqing Li; Kangle Deng; Jean-Philippe Fauconnier; et al. (CoRR, 2025)