Selected Publications & Projects
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EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation Jiaxiang Tang, Zhaoshuo Li, Zekun Hao, Xian Liu, Gang Zeng, Ming-Yu Liu, Qinsheng Zhang Arxiv 2024 [ArXiv] [Project page] |
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LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation Jiaxiang Tang, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, Ziwei Liu ECCV 2024 (Oral) [ArXiv] [Code  ]
[Demo]
[Project page] |
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DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation Jiaxiang Tang, Jiawei Ren, Hang Zhou, Ziwei Liu, Gang Zeng ICLR 2024 (Oral) [ArXiv] [Code  ]
[Project page] |
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Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement Jiaxiang Tang, Hang Zhou, Xiaokang Chen, Tianshu Hu, Errui Ding, Jingdong Wang, Gang Zeng ICCV 2023 [ArXiv] [Code  ]
[Project page] |
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Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition Jiaxiang Tang, Kaisiyuan Wang, Hang Zhou, Xiaokang Chen, Dongliang He, Tianshu Hu, Jingtuo Liu, Gang Zeng, Jingdong Wang Arxiv 2022 [ArXiv] [Code  ]
[Project page] |
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Stable-dreamfusion: Text-to-3D with Stable-diffusion Jiaxiang Tang Open-source Project [Code  ] |
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Compressible-composable NeRF via Rank-residual Decomposition Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng NeurIPS 2022 [ArXiv] [Code  ]
[Project page] |
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Torch-ngp: a PyTorch implementation of instant-ngp Jiaxiang Tang Open-source Project [Code  ] |
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Point Scene Understanding via Disentangled Instance Mesh Reconstruction Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng ECCV 2022 [ArXiv] [Code  ]
[Project page] |
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Joint Implicit Image Function for Guided Depth Super-Resolution Jiaxiang Tang, Xiaokang Chen, Gang Zeng ACM MM 2021 [ArXiv] [Code  ] |
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