#bn8192 #dotdot #bluenoise #LagrangianImage #meow

NeRF reconstructs 3D scenes accurately, but editing them is hard. Introducing PAPR, a method for learning a point cloud from multiple views from scratch and enables zero-shot editing. Details at zvict.github.io/papr/. Joint work w/ Yanshu Zhang, Shichong Peng & Alireza Moazeni

Super proud of my students Yanshu Zhang Shichong Peng Alireza Moazeni for having their paper on "PAPR: Proximity Attention Point Rendering" accepted to NeurIPS Conference and recognized with a spotlight - congratulations! Special thanks to reviewers & AC for the insightful feedback!

PAPR will be presented next week at NeurIPS Conference as a spotlight! A sneak peek of how it stacks up against Gaussian splatting is below. Come by poster #119 and chat with the lead authors Yanshu Zhang & Shichong Peng next Tuesday at 5:15pm! More details at zvict.github.io/papr/.

The code and pretrained models for PAPR have now been released, just in time for the holidays🎄. Happy hacking!

#AI is making waves - including in bringing statues to life. Simon Fraser University professor Ke Li 🍁 and his students have unveiled a new AI technology capable of turning 2D photos into a realistic, fully editable 3D model that you can view from any angle. ow.ly/HIKC50QSR04 SFU Research

Gaussian splatting is nice, but breaks under large/non-rigid scene changes. Our #CVPR2024 spotlight paper introduces a solution by doing away with splatting altogether - this does great at scene interpolation. Joint w/ Shichong Peng & Yanshu Zhang More at niopeng.github.io/PAPR-in-Motion/

An Object is Worth 64x64 Pixels: Generating 3D Object via Image Diffusion discuss: huggingface.co/papers/2408.03… We introduce a new approach for generating realistic 3D models with UV maps through a representation termed "Object Images." This approach encapsulates surface geometry,

Diffusion models turn the data into a mixture of isotropic Gaussians, and so struggle to capture the underlying structure when trained on small datasets. In our new #ECCV2024 paper, we introduce RS-IMLE, a generative model that gets around this issue. Website:

🎉 Excited to share our new work: 👓Ego-R1! We cracked ultra-long egocentric video reasoning! 🤯 Think days/weeks of footage processed efficiently with Chain-of-Tool-Thought ⛓️🔧 🌐 egolife-ai.github.io/Ego-R1