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3D representation learning folks, our dependence on SfM preprocessing is stifling progress -- with it, we can't scale up training! In this work, we estimate poses alongside our scene representation with a novel pose-estimation formulation which works robustly.

One of the coolest 3D computer vision papers, ever!

Check out “Diffusion with Forward Models”. We learn to sample realistic 3D scenes from a single input image. Our models are trained on videos and do not require 3D training data! …ffusion-with-forward-models.github.io (1/n)

Placing the camera on top of a pet is one of the coolest applications of NeRFs I've seen

How can we learn to generate 3D scenes directly with diffusion models if we only have images, no ground-truth 3d scenes? Ayush, Tianwei and George will tell you at our poster “diffusion with Forward Models”, #202!

I am presenting my paper “RaMP: Self-Supervised Reinforcement Learning that Transfers using Random Features” at poster 1427 from 5-7pm at Neurips 2023! Don’t miss it! Website: buoyancy99.github.io/ramp-rl/

Introducing pixelSplat: feed-forward Gaussian splats from image pairs! Led by David Charatan and Lester Li, collaborating with Andrea Tagliasacchi 🇨🇦! We propose a memory-efficient, fast and editable alternative to pixelNeRF based on 3D Gaussian Splatting! davidcharatan.com/pixelsplat/ 1/n

I quit PhD (for a day) and opened a boba shop at Massachusetts Institute of Technology (MIT) - Generative Boba! It’s a huge success - right next to our office so all the AI researchers are enjoying it. Checkout our boba diffusion algorithm in the poster to understand why boba generation is so important to MIT CSAIL !

Introducing “FlowMap”, the first self-supervised, differentiable structure-from-motion method that is competitive with conventional SfM like Colmap! cameronosmith.github.io/flowmap/ IMO this solves a major missing piece for internet-scale training of 3D Deep Learning methods. 1/n

I am looking for graduate students for my new lab at the University of Cambridge! Join me to understand and build models of visual perception.

[Hiring!] I am hiring multiple PhDs USC Thomas Lord Department of Computer Science USC Viterbi School for this cycle. If you're interested in scene representations, neural simulation, generative AI, and robotics, feel free to mention my name in your application (no need to email). For USC masters/undergrads who're