Real time text to image AI tool: turn your ideas into images and illustrations. Prompt examples included!
Software converts a photographic image into realistic and customized embroidery. Software reads photographic image, down-sampling or up-sampling so that a single pixel has a Density, One Grayscale image is created to calculate derivatives for each pixel using Sobel operator to calculate angle and ...
which are jointly adversarially trained with the generators and discriminators. We empirically demonstrate that our approach is able to attend to relevant regions in the image without requiring any additional supervision, and that by doing so it achieves more realistic mappings compared to recent ...
Monte Carlo is a good choice to compute the problem of global illumination in the field of realistic image synthesis. 在真实感图形生成领域里,蒙特卡罗方法是计算整体光照问题的极佳选择。 www.dictall.com 7. Study of Realistic Image Synthesis by Ray Tracing 光线追踪法生成真实感图形的研究 www.ilib....
The Image (1975) *** (out of 4) Jean (Carl Parker) runs into an old friend (Marilyn Roberts) at a party and soon she's teaching him about her slave Anne (Rebecca Brooke) and before long both are taking part in the S&M practices. Radley Metzger's erotic film isn't going to be...
Image-to-image translation allows images to be converted from one form to another while retaining essential features. The goal is to learn a mapping between the two domains and then generate realistic images in whatever style a designer chooses. This approach enables tasks such as style transfer,...
Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" For earlier version, please check srgan release and tensorlayer. For more computer vision applications, check TLXCV SRGAN Architecture Prepare Data and Pre-trained VGG You need to download the pre...
To our knowledge, it is the first framework capable of inferring photo-realistic natural images for 4x upscaling factors. To achieve this, we propose a perceptual loss function which consists of an adversarial loss and a content loss. The adversarial loss pushes our solution to the natural image...
2022 ECCV Realistic Blur Synthesis for Learning Image Deblurring 2022 ECCV Event-based Fusion for Motion Deblurring with Cross-modal Attention Code 2022 ACCV Learning to Predict Decomposed Dynamic Filters for Single Image Motion Deblurring Code 2022 Arxiv Multi-scale-stage network for single image deb...
to produce realistic samples, while adiscriminatornetwork is trained to distinguish between real and generated images. The training objective of the generator is to fool the discriminator. This approach has successfully been adapted to many applications such as high-resolution synthesis of humanfaces(...