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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2023.3240646
Abstract: Estimating neural radiance fields (NeRFs) from “ideal” images has been extensively studied in the computer vision community. Most approaches assume optimal illumination and slow camera motion. These assumptions are often violated in robotic applications, where…
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Keywords:
moving event;
neural radiance;
camera;
event ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3267049
Abstract: Learning radiance fields has shown remarkable results for novel view synthesis. The learning procedure usually costs lots of time, which motivates the latest methods to speed up the learning procedure by learning without neural networks…
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Keywords:
shooting much;
fields based;
radiance;
based methods ... See more keywords
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1
Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14594
Abstract: Volumetric radiance fields have recently gained significant attention as promising representations of photorealistic scene reconstruction. However, the non‐photorealistic rendering of such a representation has barely been explored. In this study, we investigate the artistic posterization…
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Keywords:
posterization volumetric;
radiance;
palette;
radiance fields ... See more keywords
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Published in 2023 at "ACM Transactions on Graphics"
DOI: 10.1145/3597300
Abstract: 3D-aware portrait lighting control is an emerging and promising domain thanks to the recent advance of generative adversarial networks and neural radiance fields. Existing solutions typically try to decouple the lighting from the geometry and…
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Keywords:
neural radiance;
control;
lighting representation;
radiance fields ... See more keywords