#CVPR2026
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#CVPR2026
@CVPR
Official account for IEEE/CVF Conference on Computer Vision & Pattern Recognition. Hosted by @CSProfKGD with more to come.



🎨 Got a paper on generative AI or creative content? Submit to the AI for Content Creation Workshop @CVPR2026! ⏰ Deadline: March 23 — only 7 days left! 📌 Topics include: • Image, video & 3D generation • Editing, stylization & domain transfer • Multi-modal content creation • Creative applications: VFX, fashion, graphic design, architecture & more Why submit? 🔓 Non-archival & Flexible formats: 8-page full paper or 4-page extended abstract 🏆 Best student paper award ✈️ Travel grants available 💻 Can't make it to Denver? Join remotely via Zoom! Don't let your work-in-progress miss this chance to get visibility at #CVPR2026. 🔗 ai-for-content-creation.github.io Submission Website: CMT3 - cmt3.research.microsoft.com/AICC2026/










4dvisionworkshop.github.io 📢 Call for Papers! We are organizing the 2nd 4D Vision Workshop at @CVPR 2026! We welcome submissions on dynamic 3D vision and all related topics. Non-archival track, already published papers, and ongoing submissions are all welcome!






The 5th edition of the MMFM Workshop is coming to @CVPR 2026! "What is Next in Multimodal Foundation Models?" exploring the frontiers of vision, language, and beyond. June 2026 | Denver, CO Details in thread 👇



🚨 The submission deadline for CV4Edu @CVPR approaching soon (March 12, 2026) If your work touches on multimodal classroom perception, human behavior modeling, robust generalization "in-the-wild", or privacy-aware AI, we want to see it!


Tired to go back to the original papers again and again? Our monograph: a systematic and fundamental recipe you can rely on! 📘 We’re excited to release 《The Principles of Diffusion Models》— with @DrYangSong, @gimdong58085414, @mittu1204, and @StefanoErmon. It traces the core ideas that shaped diffusion modeling and explains how today’s models work, why they work, and where they’re heading. 🧵You’ll find the link and a few highlights in the thread. We’d love to hear your thoughts and join some discussions! ⚡ Stay tuned for our markdown version, where you can drop your comments!




