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- W4308908023 abstract "Abstract In this work, we propose a method that enforces explicit control over various attributes during the image generation process in a generative adversarial net. We propose a semi-supervised learning procedure that allows us to use a quantized approximation of object orientation for learning continuous object rotations. As a result, among many other attributes, our proposed method allows us to control object orientation in scenes that are rendered according to our specifications." @default.
- W4308908023 created "2022-11-19" @default.
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- W4308908023 date "2022-11-10" @default.
- W4308908023 modified "2023-10-01" @default.
- W4308908023 title "Controlling 3D Objects in 2D Image Synthesis" @default.
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- W4308908023 doi "https://doi.org/10.1007/s42979-022-01462-w" @default.
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