Li, Daiqing

8 publications

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

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

CVPR 2022 BigDatasetGAN: Synthesizing ImageNet with Pixel-Wise Annotations Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba

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

CVPR 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

CVPR 2022 Polymorphic-GAN: Generating Aligned Samples Across Multiple Domains with Learned Morph Maps Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

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

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