Pseudo Numerical Methods for Diffusion Models on Manifolds L Liu, Y Ren, Z Lin, Z Zhao International Conference on Learning Representations (ICLR 2022), 2022 | 349 | 2022 |
Make-an-audio: Text-to-audio generation with prompt-enhanced diffusion models R Huang, J Huang, D Yang, Y Ren, L Liu, M Li, Z Ye, J Liu, X Yin, Z Zhao International Conference on Machine Learning, 13916-13932, 2023 | 126 | 2023 |
Ptqd: Accurate post-training quantization for diffusion models Y He, L Liu, J Liu, W Wu, H Zhou, B Zhuang Advances in Neural Information Processing Systems 36, 2024 | 15 | 2024 |
Make-a-voice: Unified voice synthesis with discrete representation R Huang, C Zhang, Y Wang, D Yang, L Liu, Z Ye, Z Jiang, C Weng, ... arXiv preprint arXiv:2305.19269, 2023 | 14 | 2023 |
Era-solver: Error-robust adams solver for fast sampling of diffusion probabilistic models S Li, L Liu, Z Chai, R Li, X Tan arXiv preprint arXiv:2301.12935, 2023 | 9 | 2023 |
Detector guidance for multi-object text-to-image generation L Liu, Z Zhang, Y Ren, R Huang, X Yin, Z Zhao arXiv preprint arXiv:2306.02236, 2023 | 6 | 2023 |
Diffusion denoising process for perceptron bias in out-of-distribution detection L Liu, Y Ren, X Cheng, R Huang, C Li, Z Zhao arXiv preprint arXiv:2211.11255, 2022 | 6 | 2022 |