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Daiqing Li
Daiqing Li
University of Toronto, Playground, ex NVIDIA Research
Verified email at nvidia.com - Homepage
Title
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Cited by
Year
Get3d: A generative model of high quality 3d textured shapes learned from images
J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler
Advances In Neural Information Processing Systems 35, 31841-31854, 2022
3332022
Editgan: High-precision semantic image editing
H Ling, K Kreis, D Li, SW Kim, A Torralba, S Fidler
Advances in Neural Information Processing Systems 34, 16331-16345, 2021
1992021
Semantic segmentation with generative models: Semi-supervised learning and strong out-of-domain generalization
D Li, J Yang, K Kreis, A Torralba, S Fidler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1702021
Neural turtle graphics for modeling city road layouts
H Chu, D Li, D Acuna, A Kar, M Shugrina, X Wei, MY Liu, A Torralba, ...
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
822019
Bigdatasetgan: Synthesizing imagenet with pixel-wise annotations
D Li, H Ling, SW Kim, K Kreis, S Fidler, A Torralba
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
752022
Federated simulation for medical imaging
D Li, A Kar, N Ravikumar, AF Frangi, S Fidler
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
40*2020
Neuralfield-ldm: Scene generation with hierarchical latent diffusion models
SW Kim, B Brown, K Yin, K Kreis, K Schwarz, D Li, R Rombach, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
382023
A face-to-face neural conversation model
H Chu, D Li, S Fidler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
252018
How much more data do i need? estimating requirements for downstream tasks
R Mahmood, J Lucas, D Acuna, D Li, J Philion, JM Alvarez, Z Yu, S Fidler, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
192022
Iterative spatial graph generation
H Chu, D Li, DJA Marrero, A Kar, M Shugrina, MY Liu, AT Barriuso, ...
US Patent App. 16/825,199, 2020
82020
Playground v2. 5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation
D Li, A Kamko, E Akhgari, A Sabet, L Xu, S Doshi
arXiv preprint arXiv:2402.17245, 2024
72024
Dreamteacher: Pretraining image backbones with deep generative models
D Li, H Ling, A Kar, D Acuna, SW Kim, K Kreis, A Torralba, S Fidler
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
52023
High-precision semantic image editing using neural networks for synthetic data generation systems and applications
H Ling, K Kreis, D Li, SW Kim, AT Barriuso, S Fidler
US Patent App. 17/827,394, 2022
52022
Polymorphic-gan: Generating aligned samples across multiple domains with learned morph maps
SW Kim, K Kreis, D Li, A Torralba, S Fidler
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
Playground v2
D Li, A Kamko, A Sabet, E Akhgari, L Xu, S Doshi
https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic, 2023
3*2023
Labeling images using a neural network
D Li, S Fidler
US Patent App. 17/019,120, 2022
32022
Generating mask information
D Li, H Ling, SW Kim, KJ Kreis, S Fidler, AT Barriuso
US Patent App. 17/832,400, 2024
2024
Generating textured meshes using one or more neural networks
J Gao, T Shen, Z Gojcic, W Chen, Z Wang, D Li, O Litany, S Fidler
US Patent App. 17/895,793, 2024
2024
RadImageGAN--A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Z Liu, A Zhou, A Yang, A Yilmaz, M Yoo, M Sullivan, C Zhang, J Grant, ...
arXiv preprint arXiv:2312.05953, 2023
2023
Estimating optimal training data set size for machine learning model systems and applications
RR Mahmood, JR Lucas, DJA Marrero, D Li, J Philion, JMA Lopez, Z Yu, ...
US Patent App. 17/828,663, 2023
2023
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