Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PixelSynth: Generating a 3D-Consistent Experience from a Single Image   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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The categories of this paper are: math-ph
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The categories of this paper are: stat
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The categories of this paper are: physics
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The categories of this paper are: adap-org
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: hep-th
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The categories of this paper are: funct-an
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The categories of this paper are: gr-qc
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The categories of this paper are: nucl-ex
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The categories of this paper are: q-alg
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The categories of this paper are: supr-con
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The categories of this paper are: mtrl-th
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The categories of this paper are: quant-ph
28
The categories of this paper are: alg-geom