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Found 2 papers, 2 papers with code
SemCity: Semantic Scene Generation with Triplane Diffusion
In this paper, we concentrate on generating a real-outdoor scene through learning a diffusion model on a real-world outdoor dataset.
In-N-Out: Towards Good Initialization for Inpainting and Outpainting
Our self-supervision method, In-N-Out, is summarized as a training approach that leverages the knowledge of the opposite task into the target model.
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