𝕏ingguang Yan
@yan_xg
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Ph.D. in progress at @SFU 3DLG lab @sfu_cs_3dlg and GrUVi lab. I generate stuff in 3D. X. Y.
Vancouver
Joined December 2011
Excited to share our recent work! 😁 An Object is Worth 64x64 Pixels: Generating 3D Objects via Image Diffusion We generate meshes as a set of UV patches packed in an image, which we term as "Object Images" or "omages”. Code is now live! https://t.co/0aK1RZApOy 8 cool facts
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We’re excited to recognize and thank our amazing #3DV2026 sponsors! Your support makes research, collaboration, and innovation possible. 💡✨ Want to join this group of partners? Learn how you can support 3DV here: https://t.co/SeKhtbZCSd
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🎉Our new work, "iTACO: Interactable Digital Twins of Articulated Objects from Casually Captured RGBD Videos" got accepted to 3DV 2026! 💡Existing methods for reconstructing articulated objects often require significant human effort to align all views to the same coordinate
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📢Still struggling with building digital twins of articulated objects in your robotics project? Try our new method for producing replicas of articulated objects with casually captured RGBD videos!! All you need is just an iPhone with LiDAR. 🪩website:
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Triangle Splatting has been accepted at @3DVconf! Big congrats to the whole team!🔥
Happy to share that Triangle Splatting is accepted at @3DVconf #3DV2026 to be held in Vancouver, Canada. Congrats to all the amazing collaborators! @janheld14 @rvandeghen @AdrienDeliege @GiancolaSilvio @anthony_cioppa Andrea Vedaldi, Bernard Ghanem, @taiyasaki and Marc Van
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Advances in 4D Representation: Geometry, Motion, and Interaction Abstract (excerpt) Instead of offering an exhaustive enumeration of many works, we take a more selective approach by focusing on representative works to highlight both the desirable properties and ensuing
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Some of our group members will be attending #ICCV2025 in person🎉! Come say hi 👋 and connect with us! Here’s a quick overview of our activities this week 👇
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📢📢📢 "ASIA" @ #SIGGRAPHAsia2025. 😉 We segment 3D shapes into possibly non-semantic and non-text describable parts using only a few annotated in-the-wild images as references! 👉Project Page: https://t.co/UZxVrwKWru 📄Paper: https://t.co/UOlEmlv258
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Implementing motion imitation methods involves lots of nuisances. Not many codebases get all the details right. So, we're excited to release MimicKit! https://t.co/7enUVUkc3h A framework with high quality implementations of our methods: DeepMimic, AMP, ASE, ADD, and more to come!
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🐝 The #3DV2026 Nectar Track is open for submissions! 1️⃣ Spotlight Track: Showcase your strong paper from recent venues with an oral presentation + poster. 2️⃣ Exploration Edge Track: Present preliminary ideas, research hurdles, or demos in a poster session. More details: ⬇️
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Check out my first PhD paper!
📢📢📢 3D Gaussian Flats @ #NeurIPS2025 A hybrid 2D/3D representation that reconstructs photorealistic scenes. 🔗 Project: https://t.co/ZIsPK9o4kL 📄 ArXiv: https://t.co/wCFOOfT7VK 💻 Code: https://t.co/Ue2NErpCAA
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We’re proud to have @SFU_CompSci as a #partner for #SIGGRAPH2025! As Canada’s leader in computer vision and graphics research, the School will present 7 groundbreaking papers at SIGGRAPH. Be sure to stay tuned! #Partner Learn more about SFU here: https://t.co/x8XwvzHtBk
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The art of blue noise sampling
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🎉Meet the #3DV2026 Keynote Speakers! Jitendra Malik · University of California, Berkeley Angela Dai · Technical University of Munich Christian Rupprecht · University of Oxford Alec Jacobson · University of Toronto Bring your latest work and join us for the exciting keynotes!
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CLiFT Compressive Light-Field Tokens for Compute-Efficient and Adaptive Neural Rendering
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Very neat and cool video that shows the relationship between diffusion models and flow models. Don't Solve Stochastic Differential Equations (Solve a PDE Instead!) | Fokker-Planck equation https://t.co/tt2Ayh3TuI via @YouTube
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