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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.
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
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 ...
22 de mar. de 2022 · Published in European Conference on… 22 March 2022. Computer Science. TLDR. C cascaded modulation GAN (CM-GAN), a new network design consisting of an encoder with Fourier convolution blocks that extract multi-scale feature representations from the input image with holes and a dual-stream decoder with a novel cascaded global-spatial ...
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.
We propose cascaded mod- ulation GAN (CM-GAN), a new network design consisting of an encoder with Fourier convolution blocks that extract multi-scale feature repre- sentations from the input image with holes and a dual-stream decoder with a novel cascaded global-spatial modulation block at each scale level .
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.
