Xiang Feng
@f1she1
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Incoming CS PhD, B.Eng&M.Eng @ZJU_China, Prev. RA @UUtah
Joined September 2021
๐Excited to share that ARM: Appearance Reconstruction Model for Relightable 3D Generation, has been accepted at CVPR (โจHighlight)! ARM enables 3D generation with PBR materials for relighting under novel views/lighting. Check for more results and details!
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RT @iam_NCJ: Big thanks to @_akhaliq for the shoutout!๐ฅณ. Our #SIGGRAPH2025 paper RenderFormer does end-to-end rendering from triangle mesheโฆ.
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the name "world model" is insane.
Introducing ๐งGenie 2 ๐ง - our most capable large-scale foundation world model, which can generate a diverse array of consistent worlds, playable for up to a minute. We believe Genie 2 could unlock the next wave of capabilities for embodied agents ๐ง .
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always pleased to see capture results of this quality.
Full PBR captures unwraps a new level of realism๐ซโจ. #Marso #PBR #RealityCapture @RealityCapture_
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RT @janusch_patas: GS^3: Efficient Relighting with Triple Gaussian Splatting. Abstract:.We present a spatial and angular Gaussian based repโฆ.
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We have updated the paper Gaussian Splashing with more results and experiments. Please visit the project page for more information!. Link: TL;DR: Gaussian Splashing is a unified framework combining 3D Gaussian Splatting and Position-Based Dynamics.
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RT @diego__guti: Our 2013 SIGGRAPH paper "Femto-Photography: Capturing and Visualizing the Propagation of Light" has received the 2024 Testโฆ.
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RT @Haian_Jin: Thanks AK for sharing our work! . Neural Gaffer is an end-to-end 2D relighting diffusion model that accurately relights anyโฆ.
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RT @paaarsaaa: Super excited to be in Seattle this week for #CVPR2024 to present our recent work ๐๐ฎ๐ซ๐๐จ๐๐: ๐๐๐ง๐ฌ๐, ๐๐๐๐ฎ๐ซ๐๐ญ๐ ๐๐ง๐ ๐
๐๐ฌ๐ญ ๐๐ ๐๐ฒ ๐๐โฆ.
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RT @DeemosTech: ๐ฅ#Rodin Gen-1 has been tested by over hundreds Game Developers at #GDC2024 Expo. ๐We will keep improving the results and loโฆ.
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