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Angjoo Kanazawa
@akanazawa
Assistant Professor at @Berkeley_EECS, @berkeley_ai. KAIR, @nerfstudioteam. Amazon Scholar @ FAR. Previously advised @WonderDynamics and @LumaLabsAI. she/her.
Berkeley, CA
Joined June 2011
Posts
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    Very excited to share this work @davidrmcall did with the fantastic NVIDIA Finland team last year. We have a surprisingly simple, but sample efficient way to post-train a flow model with RL.
    We developed a simple, sample-efficient online RL technique for post-training image generation models. We see it as a possible steerable alternative to CFG, driven by any scalar reward, including human preference.
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    Releasing 🌟nerfstudio🌟, a plug-and-play python library to easily create your own NeRFs! @nerfstudioteam is a contributor friendly open-source repo with a realtime web viewer that makes it easy to make cool videos 📽️ github.com/nerfstudio-pro… docs.nerf.studio #nerfstudio 1/
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    View synthesis is super cool! How can we push it further to generate the world *far* beyond the edges of an image? We present Infinite Nature, a method that combines image synthesis and 3D to generate long videos of natural scenes from a single image. infinite-nature.github.io
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    Exciting news! MegaSAM code is out🔥 & the updated Shape of Motion results with MegaSAM are really impressive! A year ago I didn't think we could make any progress on these videos: shape-of-motion.github.io/results.html Huge congrats to everyone involved and the community 🎉
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    Love this problem statement! Reconstruct the world from retinal reflections: world-from-eyes.github.io The original paper from 2004 by Nishino and Nayar was a super inspiring example of creative research for me: cave.cs.columbia.edu/projects/categ… Great to see a 3D version of it!!
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    Psyched to finally release our new work that decouples human🧑🏽‍🤝‍🧑🏻 & camera motion🎥 from an unconstrained video✨ We place people in the world, enabling high quality recovery of motion and spatial relationships between people 🤼 CVPR'23: Code & more video: vye16.github.io/slahmr
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    New work on real-time rendering of NeRFs. Try it in your browser! alexyu.net/plenoctrees/ We convert NeRF into a PlenOctree, an octree that captures view-dependent effects with spherical basis functions. No MLPs! On desktop it renders at 150fps, 3000x faster than OG NeRF🙂
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    Our demo code for CVPR'19 Human Mesh and Motion Recovery (HMMR) is out!!! akanazawa.github.io/human_dynamics/ github.com/akanazawa/huma… Joint work with Jason Zhang, Panna Felsen and Jitendra Malik
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    Wow this was fast and looks *really* good!!! DreamFusion: Text-to-3D using 2D Diffusion openreview.net/pdf?id=FjNys5c…
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    Our code for PIFu: Single-View Full Body 3D Digitization, including Clothing from a single input image is now on Github with *MIT* license! Thanks to collaborators S. Saito, Z. Huang, R. Natsume, S. Morishima, and Hao Li from Waseda University and USC shunsukesaito.github.io/PIFu/
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    Pixel-aligned Implicit Function (PIFu), a new memory efficient, fully-convolutional 3D representation for recovering a fully textured surface of a clothed person from a single or multi-view image! shunsukesaito.github.io/PIFu/ With Shunsuke S, Zeng H, @r_natsume, Shigeo M, @HaoLi81
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    New work in #ECCV2020 learning to reconstruct a morphable shape, texture, and viewpoint from an image collection without 3D ground truth *and* 2D keypoints, allowing us to explore new categories like shoes! Congrats to @goelshbhm! arxiv.org/abs/2007.10982 shubham-goel.github.io/ucmr/
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    Super excited to share that I will be joining UC Berkeley as an assistant professor from fall 2020! I am delighted that I can continue to be part of the wonderful community at Berkeley, and SO grateful for my mentors, friends and family without whom none of this would be possible
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    Viser completely changed the way we do research. Before viser, it was hard to visualize 3D/4D data, let alone share it. Now it’s all just in a browser! It’s amazingly powerful and looks awesome. It’s how we render our results and videos. We love it and hope you will too!
    July has been a big month for Viser! - Released v1.0.0😊 - We did some writing Some demos👇
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