| Pixart-: Fast training of diffusion transformer for photorealistic text-to-image synthesis J Chen, J Yu, C Ge, L Yao, E Xie, Y Wu, Z Wang, J Kwok, P Luo, H Lu, Z Li ICLR 2024 Spotlight, 2024 | 436 | 2024 |
| PIXART- : Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation J Chen, C Ge, E Xie, Y Wu, L Yao, X Ren, Z Wang, P Luo, H Lu, Z Li European Conference on Computer Vision, 74-91, 2025 | 121 | 2025 |
| Deepaccident: A motion and accident prediction benchmark for v2x autonomous driving T Wang, S Kim, J Wenxuan, E Xie, C Ge, J Chen, Z Li, P Luo Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5599-5606, 2024 | 59 | 2024 |
| Lumina-t2x: Transforming text into any modality, resolution, and duration via flow-based large diffusion transformers P Gao, L Zhuo, D Liu, R Du, X Luo, L Qiu, Y Zhang, C Lin, R Huang, ... arXiv preprint arXiv:2405.05945, 2024 | 56* | 2024 |
| A survey of reasoning with foundation models J Sun, C Zheng, E Xie, Z Liu, R Chu, J Qiu, J Xu, M Ding, H Li, M Geng, ... arXiv preprint arXiv:2312.11562, 2023 | 51 | 2023 |
| Metabev: Solving sensor failures for 3d detection and map segmentation C Ge*, J Chen*, E Xie*, Z Wang, L Hong, H Lu, Z Li, P Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 49* | 2023 |
| Pixart-{\delta}: Fast and controllable image generation with latent consistency models J Chen, Y Wu, S Luo, E Xie, S Paul, P Luo, H Zhao, Z Li ICML 2024 workshop, 2024 | 40 | 2024 |
| Arkittrack: a new diverse dataset for tracking using mobile RGB-D data H Zhao*, J Chen*, L Wang, H Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Hart: Efficient visual generation with hybrid autoregressive transformer H Tang, Y Wu, S Yang, E Xie, J Chen, J Chen, Z Zhang, H Cai, Y Lu, ... arXiv preprint arXiv:2410.10812, 2024 | 19 | 2024 |
| Sana: Efficient high-resolution image synthesis with linear diffusion transformers E Xie*, J Chen*, J Chen, H Cai, H Tang, Y Lin, Z Zhang, M Li, L Zhu, Y Lu, ... arXiv preprint arXiv:2410.10629, 2024 | 13 | 2024 |
| Deep compression autoencoder for efficient high-resolution diffusion models J Chen, H Cai, J Chen, E Xie, S Yang, H Tang, M Li, Y Lu, S Han arXiv preprint arXiv:2410.10733, 2024 | 12 | 2024 |
| Fast training of diffusion transformer with extreme masking for 3d point clouds generation S Mo, E Xie, Y Wu, J Chen, M Nießner, Z Li ECCV 2024, 2023 | 3 | 2023 |
| SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer E Xie*, J Chen*, Y Zhao, J Yu, L Zhu, Y Lin, Z Zhang, M Li, J Chen, H Cai, ... arXiv preprint arXiv:2501.18427, 2025 | 1 | 2025 |
Enze XieNVIDIA Research, MMLab@HKUPreverjeni e-poštni naslov na connect.hku.hk
