Neural Scene Graph Rendering: supplementary material

semanticscholar(2021)

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摘要
1 TRANSFORMATIONS A number of geometry and material transformations are supported in our pipeline. In practice, we limit the magnitude of these transformations, as well as the number of combinations in a single training job. Networks struggle to learn transformations simultaneously if they allow for ambiguous interpretations, e.g. texture translation and geometric translation, even though each transformation could be learned robustly in isolation.
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