Xinyi Zhang (@xinyi092298) 's Twitter Profile
Xinyi Zhang

@xinyi092298

ID: 1863605583838056448

calendar_today02-12-2024 15:26:24

3 Tweet

26 Followers

8 Following

Angela Dai (@angelaqdai) 's Twitter Profile Photo

📢 QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization Yueh-Cheng Liu learns 2DGS initialization, densification, and optimization priors from ScanNet++ => fast & accurate reconstruction! Project: liu115.github.io/quicksplat

Matthias Niessner (@mattniessner) 's Twitter Profile Photo

📢📢𝐁𝐈𝐆 𝐍𝐄𝐖𝐒: 𝐒𝐮𝐩𝐞𝐫 𝐞𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐚𝐧𝐧𝐨𝐮𝐧𝐜𝐞 𝐒𝐩𝐀𝐈𝐭𝐢𝐚𝐥 𝐀𝐈 📢📢 We’re building Spatial Foundation Models — a new paradigm of generative AI that reasons about space and time! Really stoked about our world-class team – it’s gonna be mind-boggling!

Angela Dai (@angelaqdai) 's Twitter Profile Photo

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 Mohamed El Amine Boudjoghra, Yueh-Cheng Liu, Chandan Yeshwanth, Haoxuan Li, Shivangi, Emery for amazing work!

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 <a href="/ElBoudjogh24002/">Mohamed El Amine Boudjoghra</a>, <a href="/liuyuehcheng/">Yueh-Cheng Liu</a>, <a href="/chandan__yes/">Chandan Yeshwanth</a>, <a href="/hcxrli/">Haoxuan Li</a>, <a href="/shivangi2201/">Shivangi</a>, Emery for amazing work!
Tobias Kirschstein (@tobiaskirschst1) 's Twitter Profile Photo

HairGS: Hair Strand Reconstruction based on 3D Gaussian Splatting (#BMVC2025) 📢 We reconstruct realistic 3D hair strands from multi-view images in ~1 hour. Results show robustness to a wide range of hair styles such as challenging curly hair. Project: yimin-pan.github.io/hair-gs/

Angela Dai (@angelaqdai) 's Twitter Profile Photo

📢New in ScanNet++: High-Res 360° Panos! Chandan Yeshwanth & Yueh-Cheng Liu have added pano captures for 956 ScanNet++ scenes, fully aligned with the 3D meshes, DSLR, and iPhone data - multiple panos per scene Check it out: Docs kaldir.vc.in.tum.de/scannetpp/docu… Code github.com/scannetpp/scan…