(1/2) LightIt: Illumination Modeling and Control for Diffusion Models! #CVPR2024 We facilitate lighting control for novel image generation from text prompts. We can also edit lighting for a given input image. Video: youtu.be/cCfSBD5aPLI Project: peter-kocsis.github.io/LightIt/

We also have code and loads of visualizations waiting for you to try! 👀

How can you learn all about recent advances in 3D computer vision while enjoying beautiful Singapore, you ask? Join us at the 3DV conference! Bonus: I’ll be your tutorial chair. See you there! #3DV2024 #Singapore

Excited to present GenZI at #CVPR2024! Lei Li introduces GenZI, the first zero-shot approach to creating realistic 3D human-scene interactions by leveraging interaction priors from large VLMs. Code and data on our website! craigleili.github.io/projects/genzi/ youtu.be/ozfs6E0JIMY

Come and chat with us at our #CVPR2024 poster UnScene3D to learn how to understand 3D scenes without ANY human annotation. See you tomorrow 10:30 at #40 in Arch. Work done with Angela Dai and Or Litany. Check out more about our paper at rozdavid.github.io/unscene3d

Check out MultiDiff #CVPR2024! From a single RGB image, MultiDiff enables scene-level novel view synthesis with free camera control. sirwyver.github.io/MultiDiff youtu.be/SKpFFtVJo9c Great work by @normanisation Katja Schwarz Barbara Roessle, L Porzi, S Rota Bulò, P Kontschieder

Life is probabilistic, and so should be understanding 3D scenes! Check out this really cool work by Daoyi Gao

(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. lukashoel.github.io/3DGS-LM/ youtu.be/tDiGuGMssg8

Congrats to Norman Müller who won the best paper award of Munich Data Science Institute for his DiffRF work! DiffRF is among the first 3D generative models that leverages diffusion, and that directly operates on a 3D radiance field representation.

📢SceneFactor: Generating & editing 3D indoor scenes from text! Alexey Bokhovkin presents a factored latent diffusion for controllable, large-scale scene synthesis -- decomposed into high-level semantic generation + geometric refinement w/ Quan Meng, Shubham Tulsiani alexeybokhovkin.github.io/scenefactor/

Congrats to the team Pablo Palafox 🥳

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

📢MeshArt: Generating Articulated Meshes with Structure-guided Transformers Daoyi Gao generates articulated meshes with a hierarchical transformer, modeling articulation-aware structures that guide mesh synthesis. w/ Yawar Siddiqui Lei Li Project: daoyig.github.io/Mesh_Art/

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

Excited to bring back the 2nd ScanNet++ Novel View Synthesis and 3D Semantic Understanding Challenge #CVPR2025 2025! Submit to our new benchmark, now with over 1000 high-fidelity scans of real-world scenes: kaldir.vc.in.tum.de/scannetpp/ Check it out: kaldir.vc.in.tum.de/scannetpp/cvpr…

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!

📢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

📢 IntrinsiX: High-Quality PBR Generation using Image Priors 📢 From text input, we generate renderable PBR maps! Next to editable image generation, our predictions can be distilled into room-scale scenes using SDS for large-scale PBR texture generation. We first train

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!

🎉Meet the #3DV2026 Keynote Speakers! Jitendra Malik · University of California, Berkeley Angela Dai · Technical University of Munich Christian Rupprecht · University of Oxford Alec Jacobson · University of Toronto Bring your latest work and join us for the exciting keynotes!