Differentiable transfer function optimization and local color transfer for volume rendering

Shengzhou Luo; Weijie Li; Lu Han; Chengju Zhou; Jiahui Pan

doi:10.1117/12.3008070

14 November 2023 Differentiable transfer function optimization and local color transfer for volume rendering

Shengzhou Luo, Weijie Li, Lu Han, Chengju Zhou, Jiahui Pan

Proceedings Volume 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023); 129340K (2023) https://doi.org/10.1117/12.3008070
Event: 2023 3rd International Conference on Computer Graphics, Image and Virtualization (ICCGIV 2023), 2023, Nanjing, China

Abstract

We present a novel approach for optimizing transfer functions to generate volume rendering images that closely resemble a target image. Our approach uses a differentiable volume ray-casting renderer to compute transfer function parameters and leverages gradient-based optimization to minimize the difference between the rendered and target images. Additionally, we introduce a convolutional neural network to learn the volume rendering image’s local characteristics and optimize color transfer parameters from the target image. This results in an output image with a similar color style to the target image and significantly improved visual quality.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shengzhou Luo, Weijie Li, Lu Han, Chengju Zhou, and Jiahui Pan "Differentiable transfer function optimization and local color transfer for volume rendering", Proc. SPIE 12934, Third International Conference on Computer Graphics, Image, and Virtualization (ICCGIV 2023), 129340K (14 November 2023); https://doi.org/10.1117/12.3008070

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