Presentation
Schedule
The team has a total of 14 papers (including four spotlight papers and two under the 'Datasets and Benchmarks' track) accepted to NeurIPS 2023.
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ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting
Z. Yue, J. Wang, C. C. Loy in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight) [PDF] [arXiv] [Project Page] |
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Explore In-Context Learning for 3D Point Cloud Understanding
Z. Fang, X. Li, X. Li, J. M. Buhmann, C. C. Loy, M. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight) [PDF] [arXiv] [Project Page] |
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4D Panoptic Scene Graph Generation
J. Yang, J. Cen, W. Peng, S. Liu, F. Hong, X. Li, K. Zhou, Q. Chen, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight) [PDF] |
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Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Y. Liu, L. Kong, J. Cen, R. Chen, W. Zhang, L. Pan, K. Chen, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS, Spotlight) [PDF] [arXiv] [Project Page] |
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PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
P. Yang, S. Zhou, Q. Tao, C. C. Loy in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field
N. Zheng, M. Zhou, C. Zhou, C. C. Loy in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [Project Page] |
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PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
Z. Chen, F. Hong, H. Mei, G. Wang, L. Yang, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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InsActor: Instruction-driven Physics-based Characters
J. Ren, M. Zhang, C. Yu, X. Ma, L. Pan, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing
M. Zhang, H. Li, Z. Cai, J. Ren, L. Yang, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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Language Models are Visual Reasoning Coordinators
L. Chen, B. Li, S. Shen, J. Yang, C. Li, K. Keutzer, T. Darrell, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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What Makes Good Examples for Visual In-Context Learning?
Y. Zhang, K. Zhou, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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Towards Robust and Expressive Whole-body Human Pose and Shape Estimation
H. E. Pang, Z. Cai, L. Yang, T. Zhang, Q. Tao, Z. Wu, Z. Liu in Proceedings of Neural Information Processing Systems, 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars
D. Pan, L. Zhuo, J. Piao, H. Luo, W. Cheng, Y. Wang, S. Fan, S. Liu, L. Yang, B. Dai, Z. Liu, C. C. Loy, C. Qian, W. Wu, D. Lin, K.-Y. Lin in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2023 (NeurIPS) [PDF] [arXiv] [Project Page] |
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SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Z. Cai, W. Yin, A. Zeng, C. Wei, Q. Sun, Y. Wang, H. E. Pang, H. Mei, M. Zhang, L. Zhang, C. C. Loy, L. Yang, Z. Liu in Proceedings of Neural Information Processing Systems (Datasets and Benchmarks Track), 2023 (NeurIPS) [PDF] [arXiv] [Project Page] [YouTube] |