Peter Hedman @PeterHedman3
Researcher at Google DeepMind, working on radiance fields and view-synthesis. Pixels in, pixels out! Joined March 2021-
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Peter Hedman retweeted
The generative 3D/video corner of Google DeepMind that I run in is now hiring research scientists. If you're on the market for full-time roles in that space, email us! [email protected]
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Peter Hedman retweeted
Project Starline is going from research to reality. It will now be called Google Beam! Our advanced AI doesn't just connect you—it feels like it teleports you in stunning, lifelike 3D. The first devices from @HP launch later this year for early customers!
Peter Hedman retweeted
We cooked something exciting up for you! 🧑🍳 Your vision, brought to life: Transform any reference image(s) into videos exactly as you envision them and even star in them yourself. This has been so much fun to work on with an amazing team: @tkipf, @sserenazz, @YuliaRubanova,…
Peter Hedman retweeted
Say goodbye to installs.
Peter Hedman retweeted
⚡️ Introducing Bolt3D ⚡️ Bolt3D generates interactive 3D scenes in less than 7 seconds on a single GPU from one or more images. It features a latent diffusion model that *directly* generates 3D Gaussians of seen and unseen regions, without any test time optimization. 🧵👇 (1/9)
Peter Hedman retweeted
Splats are great, but wouldn’t it be wonderful if we could transform them into the stuff of dreams? Introducing our #CVPR2025 paper ✨Morpheus✨! Morpheus lets you change the shape and appearance of 3D Gaussian splats with a few words! nianticlabs.github.io/morpheus/ (1/6)
Peter Hedman retweeted
Excited to announce that "4-LEGS: 4D Language Embedded Gaussian Splatting" has been accepted to #Eurographics2025! 🎉 We connect language with a 4D Gaussian Splatting representation to enable spatiotemporal localization using just text prompts! tau-vailab.github.io/4-LEGS/ [1/7]
Peter Hedman retweeted
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…
Peter Hedman retweeted
Brush🖌️ is now a competitive 3D Gaussian Splatting engine for real-world data and supports dynamic scenes too! Check out the release notes here: github.com/ArthurBrussee/…
Peter Hedman retweeted
Introducing CUT3R! An online 3D reasoning framework for many 3D tasks directly from just RGB. For static or dynamic scenes. Video or image collections, all in one!
Peter Hedman retweeted
New "Meshtron" paper from Nvidia produces "artist-like" meshes from point clouds. This is huge for producing useable assets from scan data or text-to-model diffusion systems. Could even be a powerful retopo tool for artist modeling workflows. arxiv.org/abs/2412.09548
Peter Hedman retweeted
Introducing 👀Stereo4D👀 A method for mining 4D from internet stereo videos. It enables large-scale, high-quality, dynamic, *metric* 3D reconstructions, with camera poses and long-term 3D motion trajectories. We used Stereo4D to make a dataset of over 100k real-world 4D scenes.
Peter Hedman retweeted
Today we are pleased to present Quark, our new method for real-time, high-resolution, and generalized neural view synthesis! We will be giving our talk at #SIGGRAPHAsia2024 in Hall B5 (2) at 10:45am. 🚀 Quark renders 1080p @ 30fps on a single A100 GPU 🌎 Generalizes across…
Peter Hedman retweeted
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)
This is a great opportunity if you're interested in view synthesis and light. I've had lots fun working with Julien and Paul!
This is a great opportunity if you're interested in view synthesis and light. I've had lots fun working with Julien and Paul!
Peter Hedman retweeted
Excited to share our latest paper: Quark – Real-time, high-resolution, and generalized neural view synthesis! 🚀 🎥 1080p @ 30fps 🌍 Generalizes across diverse scenes & datasets 🏆 Achieves real-time quality rivaling even offline methods 🔗 Project page: quark-3d.github.io
This project blew my mind! It looks just as good as 3DGS but it has no per-scene optimization or reconstruction. Every frame is generated *from scratch* and it nevertheless runs in real-time. quark-3d.github.io
Come work with us on view synthesis and inverse rendering!
Come work with us on view synthesis and inverse rendering!
This feels like a glimpse of the future. You can train 3DGS scenes from scratch directly in your browser! I had to pinch myself to check if I was dreaming when I tried this.
Peter Hedman retweeted
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
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