🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

Checkout our work tmr morning (poster# 114) at #ECCV2022! Looking forward to share inspirations and thoughts on scene modeling especially for cities 🏙️🌆🌃

Checkout our cool dataset tmr morning (poster# 101, Room Foyer Sud) at #ICCV23! MatrixCity enables city-scale rendering; and supports studies on geometry, dynamics, lighting etc.🤩

Thanks AK for sharing. #3dgaussian More structured 3D Gaussians lead to significantly reduced redundancy and improved rendering quality. github.com/city-super/Sca…

We have released the MatrixCityPlugin, render sequences, config and related scripts (github.com/city-super/Mat…). - collect large-scale and high-quality city data. - control lighting, fog, human and car crowds. - obtain depth, normal, decomposed BRDF materials.

🎉🎉Glad to announce that Scaffold-GS has been selected as a highlight at #CVPR2024. Congrats and thanks to all of my talented collaborators. Project page: city-super.github.io/scaffold-gs/

GS-LRM Large Reconstruction Model for 3D Gaussian Splatting We propose GS-LRM, a scalable large reconstruction model that can predict high-quality 3D Gaussian primitives from 2-4 posed sparse images in 0.23 seconds on single A100 GPU. Our model features a very simple

Thanks AK for sharing our work! Neural Gaffer is an end-to-end 2D relighting diffusion model that accurately relights any object in a single image under various lighting conditions. Moreover, by combining with other generative methods, our model enables many downstream 2D

Introducing MegaScenes—a scene-level dataset containing 100K SfM reconstructions and 2M images with open content licenses. We validate its effectiveness in training large-scale, generalizable models on the task of novel view synthesis. 1/N project page: megascenes.github.io

Check out our recent work “Neural Gaffer: Relighting Any Object via Diffusion” 📷🌈, an end-to-end 2D relighting diffusion model that accurately relights any object in a single image under various lighting conditions. 🧵1/N: Website: neural-gaffer.github.io

Excited to introduce Proc-GS🚀! A new pipeline integrating procedural modeling with 3D-GS to accelerate 3D building creation and infinite city generation with high flexibility and photo-realistic visual quality. -Project: city-super.github.io/procgs/ -Paper: arxiv.org/abs/2412.07660

🌟We are presenting GSDF today at #NeurIPS2024!🌟 🏠GSDF is a dual-branch architecture that combines the benefits of 3DGS with SDF to boost both rendering and reconstruction quality. 🔗 city-super.github.io/GSDF/ Welcome to chat with us! 📍East Exhibit Hall A-C #1506

I can’t attend the #NeurIPS conference this year, but Yuanbo Xiangli will present Neural Gaffer in person. Drop by our poster at West Ballroom A-D #7001 if you are interested! Time: Fri 13 Dec 4:30 p.m. — 7:30 p.m.

📢 Call for Papers: End-to-End 3D Learning @ ICCV 2025 Workshop Advance 3D Representation, Geometry & Generative AI for Robotics, Autonomous Driving, XR, and Science. 🌍 Domain-leading speakers 🏆 Best Paper Award 🗓 Submission Deadline: June 29 🔗 e2e3d.github.io