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20 de jul. de 2022 · 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.
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 ...
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. Haitian Zheng1,2(B), Zhe Lin2, Jingwan Lu2, Scott Cohen2, Eli Shechtman2, Connelly Barnes2, Jianming Zhang2, Ning Xu2, Sohrab Amirghodsi2, and Jiebo Luo1. University of Rochester, Rochester, USA. Adobe Research, Bangalore, India.
22 de mar. de 2022 · 2024. TLDR. This paper sort existing methods for image and video inpainting into different categories from the perspective of their high-level inpainting pipeline, present different deep learning architectures, including CNN, VAE, GAN, diffusion models, etc., and summarize techniques for module design. Expand.
Publications. CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training. European Conference on Computer Vision (ECCV'22) Publication date: October 23, 2022. Haitian Zheng, Zhe Lin, Jingwan (Cynthia) Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo.
21 de oct. de 2022 · We propose 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 modulation block at each scale level .
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 ...
