Angela Dai
@adai.bsky.social
2.2K followers 100 following 31 posts
Associate Professor, 3DAI Lab @ TU Munich https://www.3dunderstanding.org/
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adai.bsky.social
🚀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: 3dunderstanding.org/openings.html or via ELLIS!
Reposted by Angela Dai
craigleili.bsky.social
Excited to join @uvadatascience.bsky.social as an Assistant Professor!

Deeply grateful to my advisors @adai.bsky.social, 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!
adai.bsky.social
Super excited to have @phillipisola.bsky.social give a guest lecture in our Introduction to Deep Learning course at TU Munich on representations learned by neural networks!
adai.bsky.social
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!
adai.bsky.social
Check out Xinyi’s super cool work on 4D generative modeling with dictionary neural fields - also at poster 12 in poster session 6 today! #cvpr2025
adai.bsky.social
Fascinating lessons on 3D reconstruction from Andrea Vedaldi @oxford-vgg.bsky.social at the ScanNet++ workshop @cvprconference.bsky.social!
adai.bsky.social
Learning about world models with Gordon Wetzstein at the ScanNet++ workshop @cvprconference.bsky.social!
adai.bsky.social
Super cool insights on 4D reconstruction from Qianqian Wang at the ScanNet++ workshop @cvprconference.bsky.social!
adai.bsky.social
How to generate 3D with LLM reasoning by Cordelia Schmid at the ScanNet++ workshop @cvprconference.bsky.social!
adai.bsky.social
Kicking off the ScanNet++ workshop @cvprconference.bsky.social with Katja Schwarz on how to generate 3D with diffusion models!
adai.bsky.social
Check out the ScanNet++ workshop @CVPR on June 12 in 211 from 8:50am!

Exciting keynotes on state-of-the-art NVS & 3D understanding from Andrea Vedaldi, Cordelia Schmid, Gordon Wetzstein, Katja Schwarz, Qianqian Wang, and leading methods on the benchmark!

kaldir.vc.in.tum.de/scannetpp/cv...
Reposted by Angela Dai
niessner.bsky.social
🚀🚀🚀Announcing our $13M funding round to build the next generation of AI: 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬 that can generate entire 3D environments anchored in space & time. 🚀🚀🚀

Interested? Join our world-class team:
🌍 spaitial.ai

youtu.be/FiGX82RUz8U
SpAItial AI: Building Spatial Foundation Models
YouTube video by SpAItial AI
youtu.be
adai.bsky.social
Brilliant insights from @michael-j-black.bsky.social on the importance of data and 3D+ for 4D foundation models that understand humans, and the future of embodied intelligence in the last keynote talk of #Eurographics2025!

See you next year in Aachen :)
adai.bsky.social
Awesome look into the future of humanoid robots and what we can learn from character animation from Karen Liu’s keynote at #Eurographics2025!
adai.bsky.social
Amazing keynote by Alyosha Efros on the role of data in visual computing at #Eurographics2025!

Thought-provoking insights from generative models to 3D perception :)
adai.bsky.social
What an amazing start to our #Eurographics2025 keynotes from @justinmsolomon.bsky.social on optimization for geometry processing - lots of useful optimization tools, and so many more interesting challenges yet to be solved!
adai.bsky.social
📢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
w/ Lukas Höllein and @niessner.bsky.social
adai.bsky.social
🚀Join the 𝐒𝐜𝐚𝐧𝐍𝐞𝐭++ 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 @ CVPR 2025!
Think your method can handle large-scale 3D scenes?
Put it to the test:
kaldir.vc.in.tum.de/scannetpp/cv...

Updates:
✅ Preprocessed, undistorted DSLR images
✅ 3DGS demo: github.com/scannetpp/3D...

by Yueh-Cheng Liu, @cyeshwanth.bsky.social
adai.bsky.social
📢𝐄𝐮𝐫𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜𝐬 𝟐𝟎𝟐𝟓 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! 👋
adai.bsky.social
📢ScanEdit: 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
adai.bsky.social
📢ExCap3D: Multilevel Captioning of Objects in 3D Scenes

@cyeshwanth.bsky.social generates consistent object and part-level descriptions of objects in 3D scenes, and introduces a new dataset with 190k captions for 34k ScanNet++ objects.

Project: cy94.github.io/excap3d
w/ David Rozenberszki
Reposted by Angela Dai
niessner.bsky.social
Tomorrow in our TUM AI - Lecture Series we'll have Andrea Tagliasacchi (@taiyasaki.bsky.social), SFU.

He'll talk about "𝐑𝐚𝐝𝐢𝐚𝐧𝐭 𝐅𝐨𝐚𝐦: 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐛𝐥𝐞 𝐑𝐚𝐲 𝐓𝐫𝐚𝐜𝐢𝐧𝐠".

Live Stream: youtube.com/live/1u7ahb9...

5pm GMT+1 / 9am PST (Mon Mar 24th)
TUM AI Lecture Series - Radiant Foam: Real-Time Differentiable Ray Tracing (Andrea Tagliasacchi)
YouTube video by Matthias Niessner
youtube.com
Reposted by Angela Dai
niessner.bsky.social
📢Animating the Uncaptured 📢

We animate 3D humanoid meshes using video diffusion priors given a text prompt.

🎥https://youtu.be/_YL1J_V3smI
🌍https://marcb.pro/atu

Realistic motion generation for 3D characters - without motion capture! 🚀

Great work by Marc Benedí, @adai.bsky.social
Reposted by Angela Dai
niessner.bsky.social
📢MeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing📢

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.