Angela Dai

Angela Dai

@adai.bsky.social

Associate Professor, 3DAI Lab @ TU Munich https://www.3dunderstanding.org/

2.3K followers104 following45 posts

๐Ÿš€We have PhD openings in my lab! 3D got pretty interesting :) Generation is getting better, which makes real scenes more interesting: things get used, opened, moved, etc We want to understand that in 3D: function, dynamics, physics ๐Ÿ‘‰apply 3dunderstanding.org/openings.html or via ELLIS

๐Ÿ“ขWorldMesh is accepted to #ECCV2026, and we're releasing the code today! ๐ŸŽ‰ Led by Manuel Schneider: navigable, multi-room 3D scenes from a text prompt, with a mesh scaffold conditioning image diffusion for global consistency + photorealistic detail. ๐Ÿ‘‡ t.co/8fXCl2flIu

๐Ÿ“ขUnfoldArt recovers articulated 3D objects from image or text! Amine Boudjoghra uses ๐Ÿค–multi-agent reasoning for articulation +๐ŸŽฅ video priors for high-fidelity geometry & interiors โ†’ Get interactable URDFs for furniture, helicopters, humanoids, & more! ๐Ÿ‘‰https://aminebdj.github.io/unfoldart/

Check out our #ECCV2026 work on visibility-guided flow matching for scan completion, mesh-guided 3d world generation, artist-like 3d mesh generation, & agentic 3D world synthesis! Congrats Quan Meng, Manuel Schneider, Haoxuan Li, Ziya Erkoc for amazing work :)

Come by our ScanNet++ workshop at #CVPR June 3 in 710, 1:00pm onwards! 5 exciting keynotes on world models, NVS & 3D gen+perception and more, from Andrea Tagliasacchi, David Novotny, Or Litany, Peter Hedman, Deva Ramanan, and talks from benchmark winners! Check it out: t.co/DtU3Qg3jqd

๐Ÿ“ขDiff3r: fast feed-forward 3DGS + per-scene optimization Yueh-Cheng Liu predicts optimization-ready 3DGS init end to end, computing implicit gradients via Implicit Function Theorem + Gauss-Newton approximation for fast & stable results Check it out: liu115.github.io/diff3r

Angela Dai reposted

The first keynote today at #CVMP2025 is by Angela Dai @adai.bsky.social from 3DAI Lab at TU Munich "Can Transformers speak geometry?" There are lots of different 3D representations we use in learning but industry widely uses meshes.

Angela Dai reposted

And that's a start ๐Ÿคฉ We kick off the 22nd ACM SIGGRAPH European Conference on Visual Media Production at BFI Southbank in London Where industry and academia meet ๐Ÿค๐ŸŽฌ #CVMP2025 #BFI #BFISouthbank

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 to Amine, Yueh-Cheng, @cyeshwanth.bsky.social, Haoxuan, Shivangi, and Emery for their amazing work!

Check out Xinyiโ€™s super cool work on 4D generative modeling with dictionary neural fields - also at poster 12 in poster session 6 today! #cvpr2025

Angela Dai@adai.bsky.social

๐Ÿ“ขDNF: Generating 4D animations with dictionary-based neural fields! Xinyi Zhang presents a new dictionary-based neural field for unconditional 4D generation of deforming shapes -- generating motions with high-quality shape and temporal consistency. xzhang-t.github.io/project/DNF/

Angela Dai reposted

๐Ÿš€๐Ÿš€๐Ÿš€Announcing our $13M funding round to build the next generation of AI: ๐’๐ฉ๐š๐ญ๐ข๐š๐ฅ ๐…๐จ๐ฎ๐ง๐๐š๐ญ๐ข๐จ๐ง ๐Œ๐จ๐๐ž๐ฅ๐ฌ that can generate entire 3D environments anchored in space & time. ๐Ÿš€๐Ÿš€๐Ÿš€ Interested? Join our world-class team: ๐ŸŒ spaitial.ai youtu.be/FiGX82RUz8U

youtu.beSpAItial AI: Building Spatial Foundation ModelsYouTube video by SpAItial AI

Amazing keynote by Alyosha Efros on the role of data in visual computing at #Eurographics2025! Thought-provoking insights from generative models to 3D perception :)

๐Ÿ“ข๐๐ฎ๐ข๐œ๐ค๐’๐ฉ๐ฅ๐š๐ญ: 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 w/ Lukas Hรถllein and @niessner.bsky.social

๐Ÿ“ข๐„๐ฎ๐ซ๐จ๐ ๐ซ๐š๐ฉ๐ก๐ข๐œ๐ฌ ๐Ÿ๐ŸŽ๐Ÿ๐Ÿ“ is almost around the corner - immerse yourself in computer graphics innovation in London, May 12-16! Register now: eg25.cs.ucl.ac.uk/main/registr... See you in London! ๐Ÿ‘‹

๐Ÿ“ขScanEdit: Hierarchically-Guided Functional 3D Scan Editing Edit complex, real-world 3D scans with text -- Amine Boudjoghra combines LLM reasoning with geometric optimization to produce physically plausible, instruction-aligned scene edits Check it out: aminebdj.github.io/scanedit/ w/ Ivan Laptev

Angela Dai reposted

Tomorrow in our TUM AI - Lecture Series we'll have Andrea Tagliasacchi (@taiyasaki.bsky.social), SFU. He'll talk about "๐‘๐š๐๐ข๐š๐ง๐ญ ๐…๐จ๐š๐ฆ: ๐‘๐ž๐š๐ฅ-๐“๐ข๐ฆ๐ž ๐ƒ๐ข๐Ÿ๐Ÿ๐ž๐ซ๐ž๐ง๐ญ๐ข๐š๐›๐ฅ๐ž ๐‘๐š๐ฒ ๐“๐ซ๐š๐œ๐ข๐ง๐ ". Live Stream: youtube.com/live/1u7ahb9... 5pm GMT+1 / 9am PST (Mon Mar 24th)

youtube.comTUM AI Lecture Series - Radiant Foam: Real-Time Differentiable Ray Tracing (Andrea Tagliasacchi)YouTube video by Matthias Niessner

Angela Dai reposted

๐Ÿ“ขAnimating the Uncaptured ๐Ÿ“ข We animate 3D humanoid meshes using video diffusion priors given a text prompt. ๐ŸŽฅhttps://youtu.be/_YL1J_V3smI ๐ŸŒhttps://marcb.pro/atu Realistic motion generation for 3D characters - without motion capture! ๐Ÿš€ Great work by Marc Benedรญ, @adai.bsky.social

Angela Dai reposted

๐Ÿ“ขMeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing๐Ÿ“ข Users can interactively design 3D models just from a sketch-based interface - check it out! We break down the design process into addition with an autoregressive generator and deletion operations by a classifier.

Angela Dai reposted

Tomorrow in our TUM AI - Lecture Series we'll have none other than Saining Xie (@saining.bsky.social), NYU He'll talk about "๐“๐ก๐ž ๐ฆ๐ฎ๐ฅ๐ญ๐ข๐ฆ๐จ๐๐š๐ฅ ๐Ÿ๐ฎ๐ญ๐ฎ๐ซ๐ž: Why visual representation still matters". Live stream: www.youtube.com/live/hnu-mRL... 5pm GMT+1 / 9am PST (Mon Mar 17th)

youtube.comTUM AI Lecture Series - The multimodal future: Why visual representation still matters (Saining Xie)YouTube video by Matthias Niessner

Check out our #CVPR2025 papers on articulated mesh generation, 4d shape generation with dictionary neural fields, large-scale 3d scene generation and editing, and 3d editing! Congrats to Daoyi Gao, Xinyi Zhang, Alexey Bokhovkin, Quan Meng, and Ziya Erkoc for their amazing work!