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Han Yan (严涵) I am a second-year Ph.D. student at Shanghai Jiao Tong University (SJTU), advised by Prof. Chao Ma. I received my bachelor's degree from Artificial Intelligence Honor Class at SJTU in 2023, supervised by Prof. Chao Ma. I am a research intern at Tencent XR Vision Lab, working with Yang Li and Pan Ji. I was a research intern at Bytedance, working with Celong Liu and Xing Mei. I am interested in 3D computer vision and graphics, especially focusing on 3D AIGC and 3D reconstruction. |
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Publications |
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Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane
Han Yan, Yang Li, Zhennan Wu, Shenzhou Chen, Weixuan Sun, Taizhang Shang, Weizhe Liu, Tian Chen, Xiaqiang Dai, Chao Ma, Hongdong Li, Pan Ji SIGGRAPH Asia, 2024 project page / arXiv / video Frankenstein generates semantic-compositional 3D scenes in a single forward pass. |
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NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation
Ruikai Cui, Weizhe Liu, Weixuan Sun, Senbo Wang, Taizhang Shang, Yang Li, Xibin Song, Han Yan, Zhennan Wu, Shenzhou Chen, Hongdong Li, Pan Ji ECCV, 2024 project page / arXiv NeuSDFusion is a novel spatial-aware 3D shape generation framework. |
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Blockfusion: Expandable 3D Scene Generation using Latent Tri-plane Extrapolation
Zhennan Wu, Yang Li, Han Yan, Taizhang Shang, Weixuan Sun, Senbo Wang, Ruikai Cui, Weizhe Liu, Hiroyuki Sato, Hongdong Li, and Pan Ji ACM Transaction on Graphics (SIGGRAPH), 2024 project page / arXiv / video / code Blockfusion directly generate large unbounded 3D scene. |
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PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
Han Yan, Celong Liu, Chao Ma, Xing Mei CVPR, 2023 project page / pdf / video / code PlenVDB directly learns the VDB data to achieve NeRF acceleration. |
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Thanks to Jon Barron for the template, and to Marie Lin for taking my profile photo. |