Követés
Chongxuan Li
Chongxuan Li
Associate Professor (tenure track), Renmin University of China
E-mail megerősítve itt: ruc.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
NeurIPS 2022, 2022
13282022
Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Z Wang, C Lu, Y Wang, F Bao, C Li, H Su, J Zhu
Advances in Neural Information Processing Systems 36, 8406-8441, 2023
8292023
Towards better analysis of deep convolutional neural networks
M Liu, J Shi, Z Li, C Li, J Zhu, S Liu
IEEE transactions on visualization and computer graphics 23 (1), 91-100, 2016
6312016
Triple generative adversarial nets
C Li, T Xu, J Zhu, B Zhang
Advances in neural information processing systems 30, 2017
5732017
Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models
C Lu, Y Zhou, F Bao, J Chen, C Li, J Zhu
arXiv preprint arXiv:2211.01095, 2022
5222022
All are worth words: A vit backbone for diffusion models
F Bao, S Nie, K Xue, Y Cao, C Li, H Su, J Zhu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
408*2023
Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models
F Bao, C Li, J Zhu, B Zhang
International Conference on Learning Representations, 2022
3652022
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
M Zhao, F Bao, C Li, J Zhu
NeurIPS 2022, 2022
2242022
On evaluating adversarial robustness of large vision-language models
Y Zhao, T Pang, C Du, X Yang, C Li, NMM Cheung, M Lin
Advances in Neural Information Processing Systems 36, 54111-54138, 2023
2132023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
F Bao, S Nie, K Xue, C Li, S Pu, Y Wang, G Yue, Y Cao, H Su, J Zhu
ICML, 2023, 2023
1592023
Memory replay with data compression for continual learning
L Wang, X Zhang, K Yang, L Yu, C Li, L Hong, S Zhang, Z Li, Y Zhong, ...
ICLR 2022, 2022
1322022
Crm: Single image to 3d textured mesh with convolutional reconstruction model
Z Wang, Y Wang, Y Chen, C Xiang, S Chen, D Yu, C Li, H Su, J Zhu
European Conference on Computer Vision, 57-74, 2024
1142024
Mice: Mixture of contrastive experts for unsupervised image clustering
TW Tsai, C Li, J Zhu
International conference on learning representations, 2020
1032020
Learning to write stylized chinese characters by reading a handful of examples
D Sun, T Ren, C Li, H Su, J Zhu
arXiv preprint arXiv:1712.06424, 2017
1022017
Ordisco: Effective and efficient usage of incremental unlabeled data for semi-supervised continual learning
L Wang, K Yang, C Li, L Hong, Z Li, J Zhu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
942021
Maximum likelihood training for score-based diffusion odes by high order denoising score matching
C Lu, K Zheng, F Bao, J Chen, C Li, J Zhu
International Conference on Machine Learning, 14429-14460, 2022
882022
Estimating the optimal covariance with imperfect mean in diffusion probabilistic models
F Bao, C Li, J Sun, J Zhu, B Zhang
arXiv preprint arXiv:2206.07309, 2022
812022
Equivariant Energy-Guided SDE for Inverse Molecular Design
F Bao, M Zhao, Z Hao, P Li, C Li, J Zhu
ICLR 2023, 2022
692022
Contrastive energy prediction for exact energy-guided diffusion sampling in offline reinforcement learning
C Lu, H Chen, J Chen, H Su, C Li, J Zhu
International Conference on Machine Learning, 22825-22855, 2023
652023
Efficient learning of generative models via finite-difference score matching
T Pang, K Xu, C Li, Y Song, S Ermon, J Zhu
Advances in Neural Information Processing Systems 33, 19175-19188, 2020
602020
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20