[PDF] [Github] Cited:626 AGE Adversarial Generator-Encoder Networks. Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky. AAAI 2018. [PDF] [Pytorch] Cited:129 IntroVAE IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis. Huaibo Huang, Zhihang Li, Ran He, Zhenan Sun, ...
Text-to-image-Synthesis-for-Fashion-Design With the aim to study the respective impacts of network architectures and training data on the performance of text-to-image synthesis, two GAN-based algorithms are adopted, namely, Attentional Generative Network (AttnGAN) and Stacked Generative Network (Stac...
我们方法的核心是姿势条件 StyleGAN2 潜在空间插值,它无缝地结合了每个图像的兴趣区域,即体型、头发和肤色来自目标人物,而带有褶皱的服装 、材料属性和形状来自服装图像。 3、Taming Transformers for High-Resolution Image Synthesis https://compvis.github.io/taming-transformers/ 本文将 GAN 和卷积方法的效率与Tran...
GAN会在判别器上多一个头,就像分类器一样输出p(y|x). 看了下代码,意思是在unet的下采样后+middle_block,直接+一个分类头,不上采样。比如这个out_channels默认是1000,因为imageNet的类被是1000. if pool == "adaptive": self.out = nn.Sequential( normalization(ch), nn.SiLU(), nn.AdaptiveAvgPool2d(...
Code: CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models (github.com)Paper: arxiv.org/abs/2112.1075 Contribution Diffusion model是一种likelihood-based的模型,相比GAN可以取得更好的生成效果。然而该模型是一种自回归模型,需要反复迭代计算,因而训练和推理都十分昂贵。本文提出...
《SEAN: Image Synthesis with Semantic Region-Adaptive Normalization》 Computer Vision and Pattern Recognition CVPR 2020, Oral 作者: 论文地址: https://arxiv.org/pdf/1911.12861.pdf 代码地址: https://github.com/ZPdesu/SEAN Demo地址: https://www.youtube.com/watch?v=0Vbj9xFgoUw&feature=youtu.be...
code:https://github.com/clovaai/stargan-v2 cite: @inproceedings{DBLP:conf/cvpr/ChoiUYH20, author = {Yunjey Choi and Youngjung Uh and Jaejun Yoo and Jung{-}Woo Ha}, title = {StarGAN v2: Diverse Image Synthesis for Multiple Domains}, ...
We propose pix2pix3D, a 3D-aware conditional generative model for controllable photorealistic image synthesis. Given a 2D label map, such as a segmentation or edge map, our model learns to synthesize a corresponding image from different viewpoints. To enable explicit 3D user control, we extend ...
论文链接:https://vogue-try-on.github.io/static_files/resources/VOGUE-virtual-try-on.pdf 视频解读:https://youtu.be/i4MnLJGZbaM 3、Taming Transformers for High-Resolution Image Synthesis 论文链接:https://compvis.github.io/taming-transformers/ ...
C. Multi-modal Synthesis Network 一旦获得了多模态潜在表示Fn(即,多模态融合网络中最后一个MFB模块的输出),我们就可以使用它通过GAN模型合成目标模态图像。 由于我们将多模态学习和图像合成集成到一个统一的框架中,因此生成器可以重新表示为: 鉴别器D的目标函数可以表示为: ...