Papers › PixelSynth: Generating a 3D-Consistent Experience from a Single Image

PixelSynth: Generating a 3D-Consistent Experience from a Single Image

12 Aug 2021ICCV 2021 10arXiv:2108.05892archive 2025-07-28

Chris Rockwell, David F. Fouhey, Justin Johnson

Recent advancements in differentiable rendering and 3D reasoning have driven exciting results in novel view synthesis from a single image. Despite realistic results, methods are limited to relatively small view change. In order to synthesize immersive scenes, models must also be able to extrapolate. We present an approach that fuses 3D reasoning with autoregressive modeling to outpaint large view changes in a 3D-consistent manner, enabling scene synthesis. We demonstrate considerable improvement in single image large-angle view synthesis results compared to a variety of methods and possible variants across simulated and real datasets. In addition, we show increased 3D consistency compared to alternative accumulation methods. Project website: https://crockwell.github.io/pixelsynth/

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