Material Editing Using a Physically Based Rendering Network

  title={Material Editing Using a Physically Based Rendering Network},
  author={Guilin Liu and Duygu Ceylan and Ersin Yumer and Jimei Yang and Jyh-Ming Lien},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
The ability to edit materials of objects in images is desirable by many content creators. However, this is an extremely challenging task as it requires to disentangle intrinsic physical properties of an image. We propose an end-to-end network architecture that replicates the forward image formation process to accomplish this task. Specifically, given a single image, the network first predicts intrinsic properties, i.e. shape, illumination, and material, which are then provided to a rendering… CONTINUE READING
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