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Ruofan Liang
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@RfLiang

Ruofan Liang

@RfLiang
Ruofan Liang, PhD Student @UofT
cs.toronto.edu/~ruofan/
Joined August 2013
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  • @RfLiang
    Ruofan Liang
    @RfLiang
    Jun 5
    I will also be there presenting LuxRemix! Looking forward to your visit 🤗 BTW, I just released our massive 360 synthetic rendering dataset w/ light decomposition. Please check the thread.
    @c_richardt
    Christian Richardt
    @c_richardt
    Jun 5
    Today, we’re presenting LuxRemix at #CVPR2026 — 10:45 poster session, poster #102! Decompose indoor lighting into individual light sources from one image, then remix it (on/off, color, intensity) with real-time 3DGS relighting. Come say hi 👋 luxremix.github.io
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  • @RfLiang
    Ruofan Liang
    @RfLiang
    Apr 23
    Fortunate to help @yxue_yxue on this project during our Meta internship 😃. GeoRelight follows the research trajectory of DifffusionRenderer and UniRelight and delivers a significant quality improvement in relighting and geometry reconstruction for general human captures.
    @yxue_yxue
    Yuxuan Xue
    @yxue_yxue
    Apr 23
    #CVPR2026 Highlight How to make relighting more photorealistic? Make reconstruction happening together! GeoRelight jointly resolves Geometry, Instrinsics, and Relighting, and proves they have mutual benefit (Geometry helps you know shadow and shading) yuxuan-xue.com/georelight
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  • @RfLiang
    Ruofan Liang
    @RfLiang
    Apr 19
    The code is out for LuxDiT! 🎉 LuxDiT allows you to estimate high-quality HDR environment maps from images or videos. You can use our released Gradio web UI to quickly try your input. 🗒️Code: github.com/nv-tlabs/LuxDiT 💾Model: huggingface.co/nvidia/LuxDiT
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    @RfLiang
    Ruofan Liang
    @RfLiang
    Sep 5, 2025
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    💡 Introducing LuxDiT: a diffusion transformer (DiT) that estimates realistic scene lighting from a single image or video. It produces accurate HDR environment maps, addressing a long-standing challenge in computer vision. 🔗Paper: arxiv.org/abs/2509.03680
  • @RfLiang
    Ruofan Liang
    @RfLiang
    Apr 3
    Looks cool! Cannot wait to play with your data~
    @alayastd
    Alaya Lab
    @alayastd
    Apr 3
    𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗪𝗼𝗿𝗹𝗱 𝗥𝗲𝗻𝗱𝗲𝗿𝗲𝗿 A new toolkit, dataset, and baseline for world-scale rendering: - collect G-buffers from AAA games - scale data for rendering complex world scenes - improve rendering performance - enable game effect editing
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  • @RfLiang
    Ruofan Liang
    @RfLiang
    Mar 17
    I also took a picture of this classic place for the teaser demo of our #CVPR26 paper LuxRemix (luxremix.github.io) 😄 I used to love to sit there on Saturday afternoon, hoping Einstein could give me some research ideas 🤣 Credits also to @c_richardt for composing the vid.
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    @chrisoffner3d
    Chris Offner
    @chrisoffner3d
    Mar 15
    You can view Einstein’s locker in 3D here: x.com/chrisoffner3d/…
    5
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