activity
20142026
most citedNerfstudio: A Modular Framework for Neural Radiance Field Development

580 citations · 1.9k across the 92 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 11 cited

Human Mesh Recovery from Multiple Shots

Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa

Videos from edited media like movies are a useful, yet under-explored source of information. The rich variety of appearance and interactions between humans depicted over a large te…

cs.CV2020

Reconstructing Hand-Object Interactions in the Wild

Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa +1

In this work we explore reconstructing hand-object interactions in the wild. The core challenge of this problem is the lack of appropriate 3D labeled data. To overcome this issue,…

cs.CV2020★ 1 cited

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image

Andrew Liu, Richard Tucker, Varun Jampani +3

We introduce the problem of perpetual view generation - long-range generation of novel views corresponding to an arbitrarily long camera trajectory given a single image. This is a…

cs.CV2020★ 53 cited

pixelNeRF: Neural Radiance Fields from One or Few Images

Alex Yu, Vickie Ye, Matthew Tancik +1

We propose pixelNeRF, a learning framework that predicts a continuous neural scene representation conditioned on one or few input images. The existing approach for constructing neu…

cs.CV2020★ 6 cited

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild

Jason Y. Zhang, Sam Pepose, Hanbyul Joo +3

We present a method that infers spatial arrangements and shapes of humans and objects in a globally consistent 3D scene, all from a single image in-the-wild captured in an uncontro…

cs.CV2020

Shape and Viewpoint without Keypoints

Shubham Goel, Angjoo Kanazawa, Jitendra Malik

We present a learning framework that learns to recover the 3D shape, pose and texture from a single image, trained on an image collection without any ground truth 3D shape, multi-v…

cs.CV2020★ 32 cited

An Analysis of SVD for Deep Rotation Estimation

Jake Levinson, Carlos Esteves, Kefan Chen +4

Symmetric orthogonalization via SVD, and closely related procedures, are well-known techniques for projecting matrices onto or . These tools have long been used for a…