Scientists, including Angela Dai, Professor of 3D #ArtificialIntelligence, developed DriverAerNet++, the largest open-source database for #aerodynamic car design, to reduce costs, improve #fuelefficiency, and advance #electricvehicles: go.tum.de/560926 Massachusetts Institute of Technology (MIT) 📷A.Eckert

Excited to announce ScanNet++ v2!🎉 Chandan Yeshwanth and Yueh-Cheng Liu have been working tirelessly to bring: 🔹1006 high-fidelity 3D scans 🔹+ DSLR & iPhone captures 🔹+ rich semantics Elevating 3D scene understanding to the next level!🚀 w/ Matthias Niessner kaldir.vc.in.tum.de/scannetpp

📢 ScanNet++ v2 Benchmark Release! 🏆 Test your state-of-the-art models on: 🔹 Novel View Synthesis 📸➡️🖼️ 🔹 3D Semantic & Instance Segmentation 🤖🔍🕶️ Shoutout to Chandan Yeshwanth and Yueh-Cheng Liu for their incredible work👏 🚀Check it out: kaldir.vc.in.tum.de/scannetpp/

Tomorrow in our TUM AI - Lecture Series with none other than George Drettakis. He'll talk about "𝐓𝐡𝐞 𝟑𝐃 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐒𝐩𝐥𝐚𝐭𝐭𝐢𝐧𝐠 𝐀𝐝𝐯𝐞𝐧𝐭𝐮𝐫𝐞: 𝐏𝐚𝐬𝐭, 𝐏𝐫𝐞𝐬𝐞𝐧𝐭, 𝐅𝐮𝐭𝐮𝐫𝐞". Live stream: youtube.com/live/DjOqkVIlE… 5pm GMT+1 / 8am PST (Mon Feb 3rd)

📢📢 𝐀𝐯𝐚𝐭𝟑𝐫 📢📢 Avat3r creates high-quality 3D head avatars from just a few input images in a single forward pass with a new dynamic 3DGS reconstruction model. Video: youtu.be/P3zNVx15gYs Project: tobias-kirschstein.github.io/avat3r Our core idea is to make Gaussian

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, Ziya Erkoç for their amazing work!

📢📢Want to build 𝟑𝐃 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬? 📢📢 ➡️We're looking for Diffusion/3D/ML/Infra engineers and scientists in Munich & London. Get in touch for details! #3D #GenAI #spatialintelligence #foundationmodels

Creating high-quality 3D models from just a few sketch strokes 🤩 Check out Haoxuan Li 's latest work MeshPad!

📢Animating the Uncaptured 📢 We animate 3D humanoid meshes using video diffusion priors given a text prompt. 🎥youtu.be/_YL1J_V3smI 🌍marcb.pro/atu Realistic motion generation for 3D characters - without motion capture! 🚀 Great work by Marc Benedí Angela Dai

📢ExCap3D: Multilevel Captioning of Objects in 3D Scenes Chandan Yeshwanth 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

📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of

📢ScanEdit: Hierarchically-Guided Functional 3D Scan Editing Edit complex, real-world 3D scans with text -- Mohamed El Amine Boudjoghra combines LLM reasoning with geometric optimization to produce physically plausible, instruction-aligned scene edits Check it out: aminebdj.github.io/scanedit/

📢Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction📢 -> highly accurate face reconstruction by training powerful VITs via surface normals and UV-coordinates estimation. The geometric cues from our 2D foundation model backbone constrain the 3DMM

📢 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

📢PBR-SR: Mesh PBR Texture Super Resolution from 2D Image Priors📢 We propose a new optimization to up-sample textures of 3D assets (albedo, roughness, metallic, and normal maps) by leveraging 2D super-resolution models. 📝arxiv.org/abs/2506.02846 📽️youtu.be/eaM5S3Mt1RM

Check out the ScanNet++ workshop! I’ll be there tomorrow!

Join us tomorrow for a chat about 3D Scene Generation with Diffusion Models and more! Stop by our LT3SD poster and say hello! Drop me a DM if you’d like to meet! #CVPR2025 🗓️ Fri 13 Jun 11:30 – 13:30 📍 ExHall D Poster #45 Check more details in quan-meng.github.io/projects/lt3sd

📣Check out Daoyi's great work on generating articulated 3D objects with hierarchical transformers!

Seven papers accepted at #ICCV2025! Exciting topics: lots of generative AI using transformers, diffusion, 3DGS, etc. focusing on image synthesis, geometry generation, avatars, and much more - check it out! So proud of everyone involved - let's go🚀🚀🚀 niessnerlab.org/publications.h…

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!