Official Repository for the ICCV 2021 paper "PixelSynth: Generating a 3D-Consistent Experience from a Single Image"

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Deep Learning pixelsynth
Overview

PixelSynth: Generating a 3D-Consistent Experience from a Single Image (ICCV 2021)

drawing

Chris Rockwell, David F. Fouhey, and Justin Johnson

[Project Website] [Paper] [Supplemental]

PixelSynth fuses the complementary strengths of 3D reasoning and autoregressive modeling to create an immersive 3D experience from a single image.

Installation and Demo

Training and Evaluation

Citation

If you use this code for your research, please consider citing:

@inProceedings{Rockwell2021,
  author = {Chris Rockwell and David F. Fouhey and Justin Johnson},
  title = {PixelSynth: Generating a 3D-Consistent Experience from a Single Image},
  booktitle = {ICCV},
  year = 2021
}

Special Thanks

Thanks to Angel Chang and Angela Dai, and Richard Tucker and Noah Snavely, for allowing us to share frames from their datasets. Thanks to Olivia Wiles and Ajay Jain for polished model repositories which were so helpful in this work.

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Comments
  • Error about dataset

    Error about dataset

    I try to obtain your subset dataset by filling the form several times without any email reply. Is that an error about my email or something else? Thank you!

    opened by zimingzhong 5
  • Input/Output image size

    Input/Output image size

    Hi, I’m impressed with the result using also some old b/w photos. I’m wondering if could be possible to use and render images bigger than 256x256. Great work!

    opened by faxioman 1
Owner
Chris Rockwell
CSE PhD student in #ComputerVision at @UMich
Chris Rockwell
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