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Daiqing Li
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2020 – today
- 2024
- [i13]Daiqing Li, Aleks Kamko, Ehsan Akhgari, Ali Sabet, Linmiao Xu, Suhail Doshi:
Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation. CoRR abs/2402.17245 (2024) - 2023
- [c11]Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CVPR 2023: 8496-8506 - [c10]Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. ICCV 2023: 16652-16662 - [i12]Seung Wook Kim, Bradley Brown, Kangxue Yin, Karsten Kreis, Katja Schwarz, Daiqing Li, Robin Rombach, Antonio Torralba, Sanja Fidler:
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models. CoRR abs/2304.09787 (2023) - [i11]Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler:
DreamTeacher: Pretraining Image Backbones with Deep Generative Models. CoRR abs/2307.07487 (2023) - [i10]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:
RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging. CoRR abs/2312.05953 (2023) - 2022
- [c9]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c8]Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CVPR 2022: 10620-10630 - [c7]Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CVPR 2022: 21298-21308 - [c6]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. NeurIPS 2022 - [i9]Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Adela Barriuso, Sanja Fidler, Antonio Torralba:
BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. CoRR abs/2201.04684 (2022) - [i8]Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler:
Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. CoRR abs/2206.02903 (2022) - [i7]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i6]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR abs/2209.11163 (2022) - 2021
- [c5]Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CVPR 2021: 8300-8311 - [c4]Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. NeurIPS 2021: 16331-16345 - [i5]Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler:
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. CoRR abs/2104.05833 (2021) - [i4]Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler:
EditGAN: High-Precision Semantic Image Editing. CoRR abs/2111.03186 (2021) - 2020
- [c3]Daiqing Li, Amlan Kar, Nishant Ravikumar
, Alejandro F. Frangi
, Sanja Fidler:
Federated Simulation for Medical Imaging. MICCAI (1) 2020: 159-168 - [i3]Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F. Frangi, Sanja Fidler:
Fed-Sim: Federated Simulation for Medical Imaging. CoRR abs/2009.00668 (2020)
2010 – 2019
- 2019
- [c2]Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. ICCV 2019: 4521-4529 - [i2]Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. CoRR abs/1910.02055 (2019) - 2018
- [c1]Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. CVPR 2018: 7113-7121 - [i1]Hang Chu, Daiqing Li, Sanja Fidler:
A Face-to-Face Neural Conversation Model. CoRR abs/1812.01525 (2018)
Coauthor Index
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last updated on 2024-07-01 20:41 CEST by the dblp team
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