Daiqing Li

According to our database, Daiqing Li authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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, Tijmen Verhulsdonck, Maneesh Agrawala, Kayvon Fatahalian, Alexander Weiss, Christian Reiser, Ravi Kiran Chirravuri, Ravali Kandur, Alejandro Pelaez, Akash Garg, Michael Palleschi, Jessica Wang, Skylar Litz, Leon Liu, Anying Li, David Harmon, Derek Liu, Liangjun Feng, Denis Goupil, Lukas Kuczynski, Jihyun Yoon, Naveen Marri, Peiye Zhuang, Yinan Zhang, Brian Yin, Haomiao Jiang, Marcel van Workum, Thomas Lane, Bryce Erickson, Salil Pathare, Kyle Price, Anupam Singh, David Baszucki

CoRR, March, 2025

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

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

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, Arnold Yang, Alara Yilmaz, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei

Proceedings of the Applications of Medical Artificial Intelligence, 2024

2023

RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.

Zelong Liu, Alexander Zhou, Arnold Yang, Alara Yilmaz, Maxwell Yoo, Mikey Sullivan, Catherine Zhang, James Grant, Daiqing Li, Zahi A. Fayad, Sean Huver, Timothy Deyer, Xueyan Mei

CoRR, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.

Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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, Zhiding Yu, Sanja Fidler, Marc T. Law

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations.

Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps.

Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EditGAN: High-Precision Semantic Image Editing.

Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fed-Sim: Federated Simulation for Medical Imaging.

Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler

CoRR, 2020

Federated Simulation for Medical Imaging.

Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Neural Turtle Graphics for Modeling City Road Layouts.

Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

A Face-to-Face Neural Conversation Model.

Hang Chu, Daiqing Li, Sanja Fidler

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018