Rendering
Youtian Lin

Youtian Lin 林尤添

Ph.D. Student • Computer Vision & Graphics • NJU‑3DV Lab 博士研究生 • 计算机视觉与图形学 • 南京大学 NJU‑3DV 实验室

Brief Introduction简介

I am a first-year Ph.D. student at Nanjing University, supervised by Prof. Yao Yao, Prof. Xun Cao and Prof. Tieniu Tan. Previously, I pursued a Ph.D. at the Harbin Institute of Technology. I earned my M.S. from the Harbin Engineering University in 2021, where I was advised by Prof. Jian Guan.

我目前是 南京大学 博士一年级学生,导师为 姚遥教授, 并由曹汛教授谭铁牛教授联合指导。之前在 哈尔滨工业大学 攻读博士学位。2021 年获得 哈尔滨工程大学 硕士学位,导师关健教授

I’m currently a research intern at DreamTech. Previously, I worked at leading 3D generation startups Taichi (Meshy AI) and VAST (Tripo AI), where I contributed to their early 3D generation breakthroughs.

我目前是 DreamTech 的研究实习生。此前,我曾在领先的 3D 生成初创公司 Taichi(Meshy AI)和 VAST(Tripo AI)工作,参与并推动了它们早期在 3D 生成方面的技术突破。

Research Interests研究方向

My research interests are in computer vision and graphics, with a particular focus on 3D and 4D reconstruction and generation. I am also exploring recent advances in neural rendering and generative models. My work aims to reconstruct and synthesize realistic representations of the physical world.

我的研究兴趣主要集中在计算机视觉与图形学,特别关注3D和4D的重建与生成。我还在探索神经渲染和生成模型的最新进展。我的研究致力于重建和合成物理世界的真实表征。

I'm also interested in high-performance GPU and Graphic programming, including CUDA and Vulkan (also kind of knowing OpenGL and Metal).

我也对高性能 GPU 和图形编程感兴趣,包括 CUDA 和 Vulkan(也了解 OpenGL 和 Metal)。

Recent News最新动态

  • 2025‑05‑29 New work release: Direct3D-S2.2025 年夏,将前往香港 Apple 3D Vision 团队实习。
  • 2025‑05‑06In summer 2025, I will intern with Apple 3D Vision in Hong Kong.2025 年夏,将前往香港 Apple 3D Vision 团队实习。
  • 2024‑09‑27Two papers (Direct3D, FastDrag) accepted to NeurIPS 2024.两篇论文 (Direct3D, FastDrag) 被 NeurIPS 2024 接收。
  • 2024‑07‑01Three ECCV 2024 papers: Relightable 3D Gaussian, STAG4D, UniDream.三篇 ECCV 2024 论文:Relightable 3D Gaussian、STAG4D、UniDream。

Selected Publications论文发表

  1. Flow Distillation Sampling

    Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention

    Shuang Wu *, Youtian Lin*, Yifei Zeng, Yikang Yang, Yajie Bao, Jiachen Qian, Siyu Zhu, Feihu Zhang, Xun Cao, Philip Torr, Yao Yao1†

    Arxiv 2025

  2. Flow Distillation Sampling

    Flow Distillation Sampling: Regularizing 3D Gaussians with Pre‑trained Matching Priors

    Lin-Zhuo Chen *, Kangjie Liu *, Youtian Lin, Zhihao Li, Siyu Zhu, Xun Cao, Yao Yao

    ICLR 2025

  3. Direct3D

    Direct3D: Scalable Image‑to‑3D Generation via 3D Latent Diffusion Transformer

    Shuang Wu*, Youtian Lin*, Feihu Zhang, Yifei Zeng, Jingxi Xu, Philip Torr, Xun Cao, Yao Yao

    NeurIPS 2024

  4. FastDrag

    FastDrag: Manipulate Anything in One Step

    Xuanjia Zhao, Jian Guan, Congyi Fan, Dongli Xu, Youtian Lin, Haiwei Pan, Pengming Feng

    NeurIPS 2024

  5. STAG4D

    STAG4D: Spatial‑Temporal Anchored Generative 4D Gaussians

    Yifei Zeng*, Yanqin Jiang*, Siyu Zhu, Yuanxun Lu, Youtian Lin, Hao Zhu, Weiming Hu, Xun Cao, Yao Yao

    ECCV 2024

  6. Gaussian‑Flow

    Gaussian‑Flow: 4D Reconstruction with Dynamic 3D Gaussian Particles

    Youtian Lin, Zuozhuo Dai, Siyu Zhu, Yao Yao

    CVPR 2024 (Highlight)

  7. Relightable-3DGS

    Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing

    Jian Gao, Chun Gu, Youtian Lin, Hao Zhu, Xun Cao, Li Zhang, Yao Yao

    ECCV 2024

  8. UniDream

    UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation

    Zexiang Liu*, Yangguang Li*, Youtian Lin*, Xin Yu, Sida Peng, Yan-Pei Cao, Xiaojuan Qi, Xiaoshui Huang, Ding Liang, Wanli Ouyang

    ECCV 2024

  9. Ced-NeRF

    Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

    Youtian Lin

    AAAI 2024

Full list on 更多论文见 Google Scholar.

Community Service社区服务

  • Reviewer – SIGGRAPH Asia, ICCV, NeurIPS, ICLR, ICASSP会议审稿 – SIGGRAPH Asia、ICCV、NeurIPS、ICLR、ICASSP

Open‑Source Projects开源项目