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 | 340 | 2022 |
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 | 171 | 2018 |
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 | 123 | 2022 |
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 | 114 | 2019 |
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 | 67 | 2023 |
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 | 59 | 2020 |
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 | 52 | 2023 |
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 | 51 | 2021 |
Improved vector quantized diffusion models Z Tang, S Gu, J Bao, D Chen, F Wen arXiv preprint arXiv:2205.16007, 2022 | 42 | 2022 |
Efficient diffusion training via min-snr weighting strategy T Hang, S Gu, C Li, J Bao, D Chen, H Hu, X Geng, B Guo arXiv preprint arXiv:2303.09556, 2023 | 27 | 2023 |
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), 10686-10696, 2021 | 11 | 2021 |
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 | 9 | 2022 |
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 Hu, ... arXiv preprint arXiv:2309.03895, 2023 | 6 | 2023 |
Priorgan: Real data prior for generative adversarial nets S Gu, J Bao, D Chen, F Wen arXiv preprint arXiv:2006.16990, 2020 | 5 | 2020 |
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 | 2 | 2021 |