Dor Verbin

We’ll be presenting NeRF-Casting at SIGGRAPH Asia next week! NeRF-Casting enables photorealistic rendering of scenes with highly reflective surfaces—something that was previously impossible with models like Zip-NeRF and 3DGS. (1/6)

Our short film Dear Upstairs Neighbors is previewing at @sundancefest. 🎬 It’s a story about noisy neighbors, but behind the scenes, it’s about solving a huge challenge in generative AI: control. Developed by Pixar alumni, an Academy Award winner, researchers, and engineers, here’s how it came together. 🎨

📢📢📢 𝐒𝐩𝐡𝐞𝐫𝐢𝐜𝐚𝐥 𝐕𝐨𝐫𝐨𝐧𝐨𝐢: directional appearance as a differentiable partition of the sphere – Project: sphericalvoronoi.github.io – Paper: arxiv.org/abs/2512.14180 – Colab: tinyurl.com/spherical-voro… Project led by 𝐅𝐫𝐚𝐧𝐜𝐞𝐬𝐜𝐨 𝐝𝐢 𝐒𝐚𝐫𝐢𝐨 (graduating!)

@KeunhongP @jon_barron Multiplied by 256 instead of 255 before casting to uint8

@jon_barron Forgot to clip diffusion model outputs to [0, 1]

We're running a workshop on physics-inspired 3D vision and imaging at CVPR this year! We'll have a poster session, so if you'd like to present something, please submit your work by the April deadline. Otherwise, just come hang out with us at the workshop! pi3dvi.github.io

The code for EVER: Exact Volumetric Ellipsoid Rendering has finally been released! To recap our paper, EVER is an exact, real-time volume rendering method, capable of achieving the highest quality results on large scenes! Code: github.com/half-potato/ev…

🚀 Introducing SimVS: our new method that simplifies 3D capture! 🎯 3D reconstruction assumes consistency—no dynamics or lighting changes—but reality constantly breaks this assumption. ✨ SimVS takes a set of inconsistent images and makes them consistent with a chosen frame.

@XbiaodDu Thank you! Yeah, I'm hoping to release it sometime next month.

@dorverbin Thanks for your excellent work. I am wondering whether you would release the source code.

We’ll be presenting NeRF-Casting at SIGGRAPH Asia next week! NeRF-Casting enables photorealistic rendering of scenes with highly reflective surfaces—something that was previously impossible with models like Zip-NeRF and 3DGS. (1/6)

The full paper and a lot of results are on our project page: dorverbin.github.io/nerf-casting/ (6/6)

A particularly cool feature of our method is that it can recover the geometry of reflected objects that aren’t directly visible in any of the training images—only seen through reflections, like this lamppost reflected off the hood of the car and its right windows! (5/6)

@jon_barron It was animated by Dana! She's not really on Twitter, but she has more stuff on IG: instagram.com/danaroth_/

Our team is looking for interns! If you're interested in working with us next summer, please apply.

(1/N) Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering Website: benattal.github.io/flash-cache/ tl;dr our #ECCV2024 (oral ✨) paper presents a new system for inverse rendering that is more physically accurate, and therefore less biased, than existing approaches.

Our new paper performs exact volume rendering at 30FPS@720p, giving us the highest detail 3D-consistent NeRF! Paper: arxiv.org/abs/2410.01804 Website: half-potato.gitlab.io/posts/ever

@chrisoffner3d Uh oh!

Good luck 3D-reconstructing this one.

📣 Dr. @dorverbin from @GoogleDeepMind will give a Zoom seminar at Purdue on Tuesday, Sep 17, at 10 AM ET! See the flyer for more information. DM me or @stanley_h_chan for the Zoom link. @PurdueECE @IEEEimaging

Are you at #SIGGRAPH2024 and want to learn how to reconstruct meshes from multi-view images that contain details like individual strands of grass? Then come today to the "Radiance Field Processing" session at 2 p.m. in Mile High 1. binary-opacity-grid.github.io