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Shuyang Gu
Shuyang Gu
Microsoft Research Asia
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Vector quantized diffusion model for text-to-image synthesis
S Gu, D Chen, J Bao, F Wen, B Zhang, D Chen, L Yuan, B Guo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
6152022
Styleswin: Transformer-based gan for high-resolution image generation
B Zhang, S Gu, B Zhang, J Bao, D Chen, F Wen, Y Wang, B Guo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
2162022
Paint by example: Exemplar-based image editing with diffusion models
B Yang, S Gu, B Zhang, T Zhang, X Chen, X Sun, D Chen, F Wen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2082023
Arbitrary style transfer with deep feature reshuffle
S Gu, C Chen, J Liao, L Yuan
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1912018
Rodin: A generative model for sculpting 3d digital avatars using diffusion
T Wang, B Zhang, T Zhang, S Gu, J Bao, T Baltrusaitis, J Shen, D Chen, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
1852023
Mask-guided portrait editing with conditional gans
S Gu, J Bao, H Yang, D Chen, F Wen, L Yuan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
1372019
Giqa: Generated image quality assessment
S Gu, J Bao, D Chen, F Wen
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
762020
High-fidelity and arbitrary face editing
Y Gao, F Wei, J Bao, S Gu, D Chen, F Wen, Z Lian
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
752021
Efficient diffusion training via min-snr weighting strategy
T Hang, S Gu, C Li, J Bao, D Chen, H Hu, X Geng, B Guo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
732023
Improved vector quantized diffusion models
Z Tang, S Gu, J Bao, D Chen, F Wen
arXiv preprint arXiv:2205.16007, 2022
532022
Instructdiffusion: A generalist modeling interface for vision tasks
Z Geng, B Yang, T Hang, C Li, S Gu, T Zhang, J Bao, Z Zhang, H Li, H Hu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
382024
Clip itself is a strong fine-tuner: Achieving 85.7% and 88.0% top-1 accuracy with vit-b and vit-l on imagenet
X Dong, J Bao, T Zhang, D Chen, S Gu, W Zhang, L Yuan, D Chen, F Wen, ...
arXiv preprint arXiv:2212.06138, 2022
222022
Vector quantized diffusion model for text-to-image synthesis. 2022 IEEE
S Gu, D Chen, J Bao, F Wen, B Zhang, D Chen, L Yuan, B Guo
CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2 (3), 4, 2021
102021
Volumediffusion: Flexible text-to-3d generation with efficient volumetric encoder
Z Tang, S Gu, C Wang, T Zhang, J Bao, D Chen, B Guo
arXiv preprint arXiv:2312.11459, 2023
72023
Priorgan: Real data prior for generative adversarial nets
S Gu, J Bao, D Chen, F Wen
arXiv preprint arXiv:2006.16990, 2020
62020
Learnable sampling 3D convolution for video enhancement and action recognition
S Gu, J Bao, D Chen
2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021
22021
Simplified Diffusion Schr\" odinger Bridge
Z Tang, T Hang, S Gu, D Chen, B Guo
arXiv preprint arXiv:2403.14623, 2024
12024
CCA: Collaborative Competitive Agents for Image Editing
T Hang, S Gu, D Chen, X Geng, B Guo
arXiv preprint arXiv:2401.13011, 2024
12024
Several questions of visual generation in 2024
S Gu
https://cientgu.github.io/files/VisualSignalDecomposition.pdf, 2024
2024
Improved Noise Schedule for Diffusion Training
T Hang, S Gu
arXiv preprint arXiv:2407.03297, 2024
2024
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