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Xiuchao Wu, Pengfei Zhu, Jiangjing Lyu, Xinguo Liu, Jie Guo, Yanwen Guo, Weiwei Xu, Chengfei Lyu In this paper, we introduce StableIntrinsic, a one-step diffusion model for multi-view material estimation that can produce high-quality material parameters with low variance. |
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Xiuchao Wu, Jiamin Xu, Chi Wang, Yifan Peng, Qixing Huang, James Tompkin, Weiwei Xu This approach uses a local or per-view density represented as Gaussian mixtures along each ray. To synthesize novel views, we warp and fuse local volumes, then alpha-composite using input photograph ray colors from a small set of neighboring images. |
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Xiuchao Wu, Jiamin Xu, Xin Zhang, Hujun Bao, Qixing Huang, Yujun Shen, James Tompkin, Weiwei Xu High-quality large-scale scene rendering requires a scalable representation and accurate camera poses. This research combines tile-based hybrid neural fields with parallel distributive optimization to improve bundleadjusting neural radiance fields. |
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Xiuchao Wu*, Jiamin Xu*, Zihan Zhu, Hujun Bao, Qixing Huang, James Tompkin, Weiwei Xu We propose a scalable neural scene reconstruction and rendering method to support distributed training and interactive rendering of large indoor scenes. |
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Jiamin Xu, Xiuchao Wu, Zihan Zhu, Qixing Huang, Yin Yang, Hujun Bao, Weiwei Xu This paper proposes a novel scalable image-based rendering (IBR) pipeline for indoor scenes with reflections. |
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一等奖 (the first prize, among 466 teams) |
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