PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21) - tohinz/ConSinGAN
Improved techniques for training GANs[C] //Proceedings of the 30th International Conference on Neural Information Processing Systems. New York: ACM Press, 2016: 2234-2242. Google Scholar [36] Zhang R, Isola P, Efros A A, et al. The unreasonable effectiveness of deep features as a ...
Working on the gan_language.py( Now facing the bug of pytorch) 8年前 README MIT WGAN-GP Prerequisites Progress Results Acknowledge WGAN-GP An pytorch implementation of Paper "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU ...
An pytorch implementation of Paper "Improved Training of Wasserstein GANs". Prerequisites Python, NumPy, SciPy, Matplotlib A recent NVIDIA GPU A latest master version of Pytorch Progress gan_toy.py : Toy datasets (8 Gaussians, 25 Gaussians, Swiss Roll).(Finishedin 2017.5.8) ...
论文题目是“Progressive Growing of GANs for Improved Quality, Stability, and Variation”。其中 超分(Super-Resolution, SR ) =referral 下面针对上面没有提到的论文进行补充: 6. PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND.../progressive_growing_of_gans 第三方pytorch实现: https:/...
The primary means for video and image forgery generation are through the training of generative models using variational autoencoders (VAE), Generative Adversarial Networks (GANs) or various blends of these two types of models with other image processing techniques. The majority of the models will ...
The generator and discriminator networks are first constructed using the PyTorch framework. A small number of prepared datasets are fed into the generator, and the generative power of the generator is improved by alternately training the generator and discriminator networks. Moreover, the networks are...
The environment for this experiment is the Ubuntu18.04 operating system, the model algorithm is implemented through the PyTorch deep learning framework, the graphics card is an NVIDIA GeForce RTX 2080 Ti, the CPU is an Intel XeonE5-2678v3, and the memory is 62 GB. ...
PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation. - github-pengge/PyTorch-progressive_growing_of_gans
We examine and recomment new techniques for training GANs on asingleimage. Our model is trained iteratively on several different resolutions of the original training image, where the resolution increases as training proceeds. Whenever we increase the resolution of the training image we also increase ...