| MambaIR: A Simple Baseline for Image Restoration with State-Space Model H Guo, J Li, T Dai, Z Ouyang, X Ren, ST Xia arXiv preprint arXiv:2402.15648, 2024 | 17 | 2024 |
| FSR: A general frequency-oriented framework to accelerate image super-resolution networks J Li, T Dai, M Zhu, B Chen, Z Wang, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 1343-1350, 2023 | 6 | 2023 |
| CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution T Dai, M Ya, J Li, X Zhang, ST Xia, Z Zhu IEEE Transactions on Emerging Topics in Computational Intelligence, 2023 | 3 | 2023 |
| Towards compact 3d representations via point feature enhancement masked autoencoders Y Zha, H Ji, J Li, R Li, T Dai, B Chen, Z Wang, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 6962-6970, 2024 | 2 | 2024 |
| Fmm-attack: A flow-based multi-modal adversarial attack on video-based llms J Li, K Gao, Y Bai, J Zhang, S Xia, Y Wang arXiv preprint arXiv:2403.13507, 2024 | 2 | 2024 |
| Invertible Residual Rescaling Models J Li, T Dai, Y Zha, Y Luo, L Lu, B Chen, Z Wang, ST Xia, J Zhang arXiv preprint arXiv:2405.02945, 2024 | | 2024 |
| Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling J Li, T Dai, J Zhang, K Liu, J Wang, S Wang, ST Xia arXiv preprint arXiv:2405.02941, 2024 | | 2024 |
| CHATDESIGN: BOOTSTRAPPING GENERATIVE FLOOR PLAN DESIGN WITH PRE-TRAINED LARGE LANGUAGE MODELS J LI, Y LUO, S LU, J ZHANG, JUN WANG, R GUO, S WANG | | |
Shu-Tao XiaSIGS, Tsinghua UniversityVerified email at sz.tsinghua.edu.cn
