Check out or workshop on Generate Scene Completion at ICCV'25. We have an incredible speaker lineup and most certainly the coolest website (credits to @ethanjohnweber and @cursor_ai). 📅Mon, Oct 20 (morning session) 🌐 https://t.co/IBZceahOsr

Meet MapAnything – a transformer that directly regresses factored metric 3D scene geometry (from images, calibration, poses, or depth) in an end-to-end way. No pipelines, no extra stages. Just 3D geometry & cameras, straight from any type of input, delivering new state-of-the-art

📢MeshPad: Interactive Sketch-Conditioned Artist-Designed Mesh Generation and Editing📢 Users can interactively design 3D models just from a sketch-based interface - check out the demo :) We break down the design process into addition with an autoregressive generator and

📢Animating the Uncaptured 📢 We animate 3D humanoid meshes using video diffusion priors given a text prompt. 🎥 https://t.co/EpFW86gaRw 🌍 https://t.co/suMQs8oQCL Realistic motion generation for 3D characters - without motion capture! 🚀 Great work by @marcbenedi @angelaqdai

Tomorrow in our TUM AI - Lecture Series with none other than Robin Rombach (@robrombach), CEO @bfl_ml. He'll talk about "𝐅𝐋𝐔𝐗: Flow Matching for Content Creation at Scale". Live stream: https://t.co/a98JnlnTHb 6pm GMT+1 / 9am PST (Mon Feb 17rd)

Germans living abroad: last chance to register for the upcoming election is *tomorrow* (2 Feb 2025): https://t.co/W6v0VYZxzz

📢 ScanNet++ v2 Benchmark Release! 🏆 Test your state-of-the-art models on: 🔹 Novel View Synthesis 📸➡️🖼️ 🔹 3D Semantic & Instance Segmentation 🤖🔍🕶️ Shoutout to @chandan__yes and @liuyuehcheng for their incredible work👏 🚀Check it out: https://t.co/SKCGM23hA0

My group is looking for motivated PhD students that want to work on the future of digital humans. Within the ERC project 'LeMo: Learning Digital Humans in Motion' there are two open positions: https://t.co/MaNnCFIYV0 https://t.co/zNlBdAnmVH

Great way to expand one's graphics knowledge: Every day grab and read a random graphics paper from https://t.co/BFmNOzCk0F. Even if you struggle to get the specifics, read the abstract or skim over it to learn about its existence and get the gist of a graphics technique.

Excited to announce ScanNet++ v2!🎉 @chandan__yes and @liuyuehcheng 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/ @MattNiessner https://t.co/QayR1S8KZZ

📢DNF: Generating 4D animations with dictionary-based neural fields! @xinyi092298 presents a new dictionary-based neural field for unconditional 4D generation of deforming shapes -- generating motions with high-quality shape and temporal consistency. https://t.co/yAZi2k0PjB

📢📢𝐆𝐀𝐅: 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐀𝐯𝐚𝐭𝐚𝐫 𝐑𝐞𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 𝐟𝐫𝐨𝐦 𝐌𝐨𝐧𝐨𝐜𝐮𝐥𝐚𝐫 𝐕𝐢𝐝𝐞𝐨𝐬 𝐯𝐢𝐚 𝐌𝐮𝐥𝐭𝐢-𝐯𝐢𝐞𝐰 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧📢📢 We reconstruct animatable Gaussian head avatars from monocular videos captured by commodity devices such as

📢MeshArt: Generating Articulated Meshes with Structure-guided Transformers @DaoyiGao generates articulated meshes with a hierarchical transformer, modeling articulation-aware structures that guide mesh synthesis. w/ @yawarnihal @craigleili Project: https://t.co/aZPVyn8kQd

Our work Meta 3D AssetGen on 3D shape generation will be presented at #NeurIPS2024, on Thursday afternoon session (12 Dec 4:30 p.m. PST — 7:30 p.m. PST) in East Exhibit Hall A-C, Poster #4609! I won't be attending, but Prof. Andrea Vedaldi will be there. Come say hi!

Learnings: - Formulate single image scene reconstruction as conditional diffusion processes - Learn a generative scene prior by denoising all objects simultaneously leads to more coherent arrangements - Probabilistic diffusion formulation is well suited for ambiguous cases in

Super happy to present our #NeurIPS paper 𝐂𝐨𝐡𝐞𝐫𝐞𝐧𝐭 𝟑𝐃 𝐒𝐜𝐞𝐧𝐞 𝐃𝐢𝐟𝐟𝐮𝐬𝐢𝐨𝐧 𝐅𝐫𝐨𝐦 𝐚 𝐒𝐢𝐧𝐠𝐥𝐞 𝐑𝐆𝐁 𝐈𝐦𝐚𝐠𝐞 in Vancouver. Come to our poster #2804 on Wednesday 11am - 2pm in East Exhibit Hall A-C and say hi if you want to learn more about 3D Scene

📢SceneFactor: Generating & editing 3D indoor scenes from text! @ABokhovkin presents a factored latent diffusion for controllable, large-scale scene synthesis -- decomposed into high-level semantic generation + geometric refinement w/ @QTDSMQ, @shubhtuls https://t.co/WGTw70cKIo

We present Mesh2NeRF at #ECCV this afternoon (Wed Oct 2, 16:30 - 18:30). Poster Session: 4 Poster Board ID: 290 Come by and let’s chat about it!

(1/2) How to accelerate the reconstruction of 3D Gaussian Splatting? 3DGS-LM replaces the commonly used ADAM optimizer with a tailored Levenberg-Marquardt (LM). => We are 𝟑𝟎% 𝐟𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐚𝐧 𝟑𝐃𝐆𝐒 for the same quality. https://t.co/F4uB4DpJGt https://t.co/Ju0Y2VxH7z

Want to work on cutting-edge research in #AI? We have several 𝐏𝐡𝐃 & 𝐏𝐨𝐬𝐭𝐃𝐨𝐜 𝐨𝐩𝐞𝐧𝐢𝐧𝐠𝐬 in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion Models, LLMs, etc. Share & apply :) https://t.co/HWQhI69CZ0