RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency Zhuoman Liu, Bo Yang tl;dr: ray-surface distance field->3D shape; dual-ray visibility classifier->spatial relationships of any pair of rays->multi-view geometry consistent arxiv.org/pdf/2310.19629…

Our #RayDF at #NeurIPS2023, a simple ray-based representation, directly inferring surface points, 1000x faster than OF/SDF/UDF/NeRF in rendering. Project: vlar-group.github.io/RayDF.html Thx to Zhenjun Zhao Grateful if awesome guys AK Dmytro Mishkin 🇺🇦 Neural Fields could retweet😅

【#CGWCC2023】 OnePlanetによる「XRコンテンツにおけるNeRFの活用方法」配信中！ ▼視聴はこちら cgworld.jp/special/cgwcc2… XRコンテンツにおけるNeRF（Neural Radiance Fields）の活用事例を解説いただいてます！

Neural Field Convolutions by Repeated Differentiation Authors: Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimkühler dl.acm.org/doi/abs/10.114…

📢 I will be at NeurIPS 🛫next week! If you are attending and are interested in 3D Vision, Dynamic Scenes, and Neural Fields then please do reach out! Would love to get to know more about your work 😄 Would also love to meet people and chat about PhD life, or just grab good ☕️!

Our paper has been published in Communications Materials! We have developed a neural field-based crystal structure decoder inspired by recent 3D vision research (3D object recognition and neural fields). Paper: nature.com/articles/s4324… GitHub: github.com/omron-sinicx/n…

Our paper, NSF (neural stress field), will be presented on SIGGRAPH Asia this week by Professor Yin Yang ! Check it out if you are interested!

Excited to be at SIGGRAPH Asia ➡️ Hong Kong! Our work, "DreamEditor: Text-Driven 3D Scene Editing with Neural Fields", led by JingYu Zhuang Chen Wang, will be presented at 14-15 today in C4.11. Come chat with us about Neural Representations and 3D Generative Models!

#SIGGRAPHAsia2023 #NeuralPDE Neural Stress Field is a reduced-order modeling framework for solid, fluid, and fracture mechanics. After training, it enables 10X speedup for simulations of tearing and other damage phenomena to everyday materials such as bread! Come to the NEURAL

Today at #NeurIPS2023 I will be presenting our work on "Latent Field Discovery in Interacting Dynamical Systems with Neural Fields". Join us at poster session 3 on Wednesday morning, poster #619. Paper: arxiv.org/abs/2310.20679 Source code: github.com/mkofinas/aether [1/8] 🧵

Have you ever been outside?🏞️I hear it's big🏙️Scaling high detail neural rendering requires efficient parallel optimization of the scene _and_ its cameras📸 #SIGGRAPHAsia2023 - Friday 10:15am in C4.8 in Sydney! xchaowu.github.io/papers/scanerf/ Neural Fields

🌟We have released NeO-360 code -github.com/zubair-irshad/…. NeO-360 achieves generalizable outdoor 360-degree novel view synthesis. We hope the code and NERDS360 dataset advances digital twins of unbounded spaces! Toyota Research Institute (TRI) Georgia Tech School of Interactive Computing Robotics@GT Machine Learning at Georgia Tech Neural Fields

📢Our new NVIDIA AI paper is out! I'm happy to share Compact NGP with Learned Hash Probing, which offers NeRFs that are 3.5x smaller than Instant NGP at a ~1.26x training cost and equivalent (or faster) inference speeds! 🌐: nv-tlabs.github.io/compact-ngp/ 🎥: youtube.com/watch?v=3TEry8…

📢 Excited to share our latest work on computing accurate differential operators for hybrid neural fields (like Instant NGP)! 🔗: justachetan.github.io/hnf-derivative… 🧵👇🏻 (1/n)

Happy New Year!✨We have released #colmap poses of 10/75 scenes for our #ICCV2023 paper NEO-360🔥. Check it out to test your own #GaussianSplatting and #NeRF algorithms (a sample #GaussianSplat shown below): github.com/zubair-irshad/… Toyota Research Institute (TRI) Georgia Tech School of Interactive Computing Machine Learning at Georgia Tech Neural Fields

Flying with Photons: Rendering Novel Views of Propagating Light Authors: Anagh Malik, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell anaghmalik.com/FlyingWithPhot…