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The official repo for CM-GAN (Cascaded Modulation GAN) for Image Inpainting. We introduce a new cascaded modulation design that cascades global modulation with spatial adaptive modulation for better hole filling. We also introduce an object-aware training scheme to facilitate better object removal.
14 de mar. de 2022 · InsetGAN for Full-Body Image Generation. Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu. While GANs can produce photo-realistic images in ideal conditions for certain domains, the generation of full-body human images remains difficult due to the diversity of identities, hairstyles ...
- arXiv:2203.07293 [cs.CV]
22 de mar. de 2022 · CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo. Recent image inpainting methods have made great progress but often struggle to generate plausible image structures ...
- arXiv:2203.11947 [cs.CV]
- 32 pages, 19 figures
19 de jun. de 2022 · InsetGAN for Full-Body Image Generation. CVPR2022. Publication date: June 19, 2022. Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan (Cynthia) Lu. While GANs can produce photo-realistic images in ideal conditions for certain domains, the generation of full-body human images remains difficult ...
14 de mar. de 2022 · PDF | While GANs can produce photo-realistic images in ideal conditions for certain domains, the generation of full-body human images remains difficult... | Find, read and cite all the research ...
InsetGAN for Full-Body Image Generation | Papers With Code. CVPR 2022 · Anna Frühstück , Krishna Kumar Singh , Eli Shechtman , Niloy J. Mitra , Peter Wonka , Jingwan Lu ·. Edit social preview.
22 de mar. de 2022 · A simple image inpainting baseline, Mobile Inpainting GAN (MI-GAN), which is approximately one order of magnitude computationally cheaper and smaller than existing state-of-the-art inpainting models, and can be efficiently deployed on mobile devices.
