🔥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

The Neural Rendering workshop will take place at #CVPR2024 in Seattle! #CVPR2025 neural-rendering.com Organized by Fangneng Zhan Anpei Chen Adam Kortylewski Ayush Tewari Siyu Tang @VLG-ETHZ Christian Theobalt We have a fantastic speaker line-up!

📢 The call for papers is now open for 3DV2025! 📝 Submission: Aug 12 📽 Suppl. Mat.: Aug 19 🔗 Details: 3dvconf.github.io/2025/call-for-… 📅 Conference: Mar 25-28, 2025 🌟 Don't miss the chance to share your research at #3DV2025 and visit beautiful Singapore #Singapore 🎉

Learning Temporally Consistent Video Depth from Video Diffusion Priors This work addresses the challenge of video depth estimation, which expects not only per-frame accuracy but, more importantly, cross-frame consistency. Instead of directly

Thank you @AutoVisionGroup! Our team greatly enjoyed working with you. Looking forward to sharing HUGS at #CVPR2024!

🤔Applying Depth Estimation models directly to videos can result in inconsistency between frames. 💪Well, not anymore. 🔥ChronoDepth is a new approach to video depth estimation that focuses on achieving both accuracy within each frame and consistency across frames. 📜More👇

Do you want more visibility for your Dense-SLAM-related work & discuss with experts in the field at #ECCV2024? No strings attached: send your already published work (conference/journal/arXiv), there will be no proceedings publication. More info: sites.google.com/view/neuslam/c… European Conference on Computer Vision #ECCV2026

Deadline extended to 25 Aug '24: mllmav.github.io

HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving Hongyu Zhou, Longzhong Lin, Jiabao Wang, Yichong Lu, Dongfeng Bai, Bingbing Liu, Yue Wang, @andreasgeiger0, Yiyi Liao tl;dr: in title arxiv.org/abs/2412.01718

We released the code for HUGSIM, a real-time, photo-realistic and closed-loop simulator for autonomous driving! Curious how your AD algorithms perform in diverse closed-loop scenarios? Test them on our benchmark! Code: github.com/hyzhou404/HUGS… Website: xdimlab.github.io/HUGSIM/

EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis Sheng Miao, Jacey Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao tl;dr: feed-forward 3DGS->unbounded driving scenes arxiv.org/abs/2503.20168