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SCP-Diff: Photo-Realistic Semantic Image Synthesis with Spatial-Categorical Joint Prior
March 15, 2024, 4:46 a.m. | Huan-ang Gao, Mingju Gao, Jiaju Li, Wenyi Li, Rong Zhi, Hao Tang, Hao Zhao
cs.CV updates on arXiv.org arxiv.org
Abstract: Semantic image synthesis (SIS) shows good promises for sensor simulation. However, current best practices in this field, based on GANs, have not yet reached the desired level of quality. As latent diffusion models make significant strides in image generation, we are prompted to evaluate ControlNet, a notable method for its dense control capabilities. Our investigation uncovered two primary issues with its results: the presence of weird sub-structures within large semantic areas and the misalignment of …
abstract arxiv best practices categorical controlnet cs.cv current diff diffusion diffusion models gans good however image image generation latent diffusion models photo practices prior quality semantic sensor shows simulation spatial synthesis type
More from arxiv.org / cs.CV updates on arXiv.org
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
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