End-to-end 3d dense captioning with vote2cap-detr S Chen, H Zhu, X Chen, Y Lei, G Yu, T Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |
LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding, Reasoning, and Planning S Chen, X Chen, C Zhang, M Li, G Yu, H Fei, H Zhu, J Fan, T Chen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 14 | 2024 |
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts M Li, X Chen, C Zhang, S Chen, H Zhu, F Yin, G Yu, T Chen arXiv preprint arXiv:2312.10763, 2023 | 8 | 2023 |
Vote2cap-detr++: Decoupling localization and describing for end-to-end 3d dense captioning S Chen, H Zhu, M Li, X Chen, P Guo, Y Lei, YU Gang, T Li, T Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models S Chen, X Chen, A Pang, X Zeng, W Cheng, Y Fu, F Yin, Y Wang, Z Wang, ... arXiv preprint arXiv:2405.20853, 2024 | 1 | 2024 |
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers Y Chen, T He, D Huang, W Ye, S Chen, J Tang, X Chen, Z Cai, L Yang, ... arXiv preprint arXiv:2406.10163, 2024 | | 2024 |
Supplementary Materials for End-to-End 3D Dense Captioning with Vote2Cap-DETR S Chen, H Zhu, X Chen, Y Lei, G YU, T Chen | | |