Lei Li
@craigleili
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Assistant Professor @ University of Virginia
Charlottesville, VA
Joined July 2010
Emery will present DiffuMatch at #ICCV2025 in Poster Session 2 this afternoon (Tuesday). Stop by and chat with us about spectral diffusion models! 🗓️ Oct 21st (Tue), 15:00 – 17:00 📍 67, Exhibit Hall I
🎮Try out our demo on @huggingface ! https://t.co/TnCeP5hr0u (6/n)
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Join us tomorrow at the #ICCV2025 workshop on generating digital twins from images and videos! Don’t miss amazing talks from Manolis Savva, @KaterinaFragiad, @mapo1, @jiajunwu_cs, @MattNiessner, @craigleili, @yanpei_cao, and @bgxc on cutting-edge progress! @ICCVConference
🔥 Deadline extended! The non-archival track is now open until Aug 17. Have research related to digital twins? Consider submitting it to our workshop at @ICCVConference 2025. Previously accepted or published papers are welcome as well. #ICCV2025
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Although the prior is trained only on human shapes, our method generalizes to unseen categories, enabling robust shape matching across domains! (5/n)
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This learned spectral diffusion prior is then distilled and integrated into deep functional map frameworks. (4/n)
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We train a diffusion model directly on functional maps to learn their underlying structures as a category-agnostic spectral prior. (3/n)
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Functional maps provide a spectral representation of pointwise correspondences between shapes. Interestingly, they exhibit similar diagonal structures across humans, animals, and other categories. (2/n)
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📢Excited to share our latest #ICCV2025 work DiffuMatch: learning spectral diffusion priors for robust non-rigid shape matching! Great work led by Emery Pierson, w/ @angelaqdai and Maks Ovsjanikov. 🧵(1/n)
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📢Our school @uvadatascience has several faculty position openings for the 2025-2026 hiring cycle. Come join a vibrant and growing academic community to shape the future of data science!🚀 https://t.co/t2BZQtZSwR
datascience.virginia.edu
School of Data Science at the University of Virginia.
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🚀We have PhD openings in my lab at TU Munich! Explore 3D/4D reconstruction & generation, semantic & functional understanding, and more - at the intersection of graphics, vision, and machine learning. 💼PhDs are 100% E13 positions 👉Apply: https://t.co/A0KhPKmSbD or via ELLIS!
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So exciting to see @craigleili launch his lab as an assistant professor!! As application season starts up, don’t miss an amazing opportunity to join an inspiring new group in spatial AI🚀🔥🚀
Excited to join @uvadatascience as an Assistant Professor! Deeply grateful to my advisors @angelaqdai, Maks Ovsjanikov, Hongbo Fu, and Chiew-Lan Tai for their unwavering support. 📢We are recruiting PhD students and postdocs to work on #SpatialAI. Flyer below with details!
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Excited to join @uvadatascience as an Assistant Professor! Deeply grateful to my advisors @angelaqdai, Maks Ovsjanikov, Hongbo Fu, and Chiew-Lan Tai for their unwavering support. 📢We are recruiting PhD students and postdocs to work on #SpatialAI. Flyer below with details!
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Check out our #ICCV2025 work on functional 3d scan editing, learning to optimize, multi-level 3d captioning, interactive mesh editing, audio-driven avatars, & shape matching! Congrats @ElBoudjogh24002, @liuyuehcheng, @chandan__yes, @hcxrli, @shivangi2201, Emery for amazing work!
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Seven papers accepted at #ICCV2025! Exciting topics: lots of generative AI using transformers, diffusion, 3DGS, etc. focusing on image synthesis, geometry generation, avatars, and much more - check it out! So proud of everyone involved - let's go🚀🚀🚀 https://t.co/Rd4vDGiG5p
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Join us tomorrow for a chat about 3D Scene Generation with Diffusion Models and more! Stop by our LT3SD poster and say hello! Drop me a DM if you’d like to meet! #CVPR2025 🗓️ Fri 13 Jun 11:30 – 13:30 📍 ExHall D Poster #45 Check more details in
How can we generate high-fidelity, complex 3D scenes? @QTDSMQ's LT3SD decomposes 3D scenes into latent tree representations, with diffusion on the latent trees enabling seamless infinite 3D scene synthesis! w/ @craigleili, @MattNiessner
https://t.co/wv9bIhkkYi
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đź“ŁCheck out Daoyi's great work on generating articulated 3D objects with hierarchical transformers!
📢📢 We’ll be presenting MeshArt tomorrow morning (Friday 13.06) in the poster session at ExHall D Poster #42 from 10:30-12:30. Come and chat about articulated 3D mesh genereation or any 3D generative stuff! Project page: https://t.co/yHqazRNydx
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Check out the ScanNet++ workshop! I’ll be there tomorrow!
Check out our ScanNet++ workshop @CVPR June 12 in 211 from 8:50am! Exciting keynotes on sota NVS & 3D understanding from Andrea Vedaldi @Oxford_VGG, @CordeliaSchmid, @GordonWetzstein, @K_S_Schwarz, @QianqianWang5, and leading methods on the benchmark! https://t.co/TvURvNYoW3
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📢PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors📢 We propose a new optimization to up-sample textures of 3D assets (albedo, roughness, metallic, and normal maps) by leveraging 2D super-resolution models. 📝 https://t.co/snnZXJyq7T 📽️ https://t.co/M4MAv0Xi7z
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📢 QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization @liuyuehcheng learns 2DGS initialization, densification, and optimization priors from ScanNet++ => fast & accurate reconstruction! Project: https://t.co/mDgQxmhqkF
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📢Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction📢 -> highly accurate face reconstruction by training powerful VITs via surface normals and UV-coordinates estimation. The geometric cues from our 2D foundation model backbone constrain the 3DMM
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