Resultado da Busca
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.
Se o Gan Jingwan jogar, você também poderá acompanhar sua avaliação, estatísticas e mapa de calor em tempo real no Sofascore. O perfil do jogador de futebol Gan Jingwan exibe todas as partidas e competições, com as estatísticas de todas as partidas que o Gan Jingwan jogou.
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
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.
– Cascaded Modulation GAN, a new inpainting network architecture formed by a masked image encoder with Fourier convolution blocks and a cascaded global-spatial modulation-based decoder. – An object-aware mask generation scheme preventing the model from gener-ating new objects inside holes and mimicking realistic inpainting use cases. – A ...
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.
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 ...
