This procedure can also be seen as a kind of language-guided search, and can have a dramatic impact on sample quality. Similar to the rejection sampling used in VQVAE-2, we use CLIP to rerank the top 32 of 512 samples for each caption in all of the interactive visuals. al explores sampling-based strategies for image generation that leverage pretrained multimodal discriminative models. Other work incorporates additional sources of supervision during training to improve image quality. This is interesting to compare to our reranking with CLIP, which is done offline. AttnGAN incorporates attention between the text and image features, and proposes a contrastive text-image feature matching loss as an auxiliary objective. Experiment with off-the-wall ideas, ideate around different concepts, and produce dozens of variations in a snap. Download Lensa AI: photo & video editor and enjoy it on your iPhone, iPad, iPod touch, or Mac OS X 11.0 or later. StackGAN and StackGAN++ use multi-scale GANs to scale up the image resolution and improve visual fidelity. With Generative Fill, you can add or remove objects, generate background, and extend images easily in Photoshop on your web browser. Read reviews, compare customer ratings, see screenshots, and learn more about Lensa AI: photo & video editor. The embeddings are produced by an encoder pretrained using a contrastive loss, not unlike CLIP. al, whose approach uses a GAN conditioned on text embeddings. Text-to-image synthesis has been an active area of research since the pioneering work of Reed et. We provide more details about the architecture and training procedure in our paper. Remove background, change background and showcase products. Create product and portrait pictures using only your phone and our AI photo editing tools. Remove unwanted parts of your image with a swipe. Type your vision and let AI transform your words into fascinating images. Blur the background of your image automatically. Speed up your editing process with an AI-powered photo editor. DALL♾ uses the standard causal mask for the text tokens, and sparse attention for the image tokens with either a row, column, or convolutional attention pattern, depending on the layer. Generate realistic backgrounds in less than a second. ![]() The attention mask at each of its 64 self-attention layers allows each image token to attend to all text tokens. Finally, the transformations “a sketch of the animal” and “a cell phone case with the animal” explore the use of this capability for illustrations and product design.ĭALL♾ is a simple decoder-only transformer that receives both the text and the image as a single stream of 1280 tokens-256 for the text and 1024 for the image-and models all of them autoregressively. Those that only change the color of the animal, such as “animal colored pink,” are less reliable, but show that DALL♾ is sometimes capable of segmenting the animal from the background. ![]() Other transformations, such as “animal with sunglasses” and “animal wearing a bow tie,” require placing the accessory on the correct part of the animal’s body. This works less reliably, and for several of the photos, DALL♾ only generates plausible completions in one or two instances. The transformation “animal in extreme close-up view” requires DALL♾ to recognize the breed of the animal in the photo, and render it up close with the appropriate details. ![]() The most straightforward ones, such as “photo colored pink” and “photo reflected upside-down,” also tend to be the most reliable, although the photo is often not copied or reflected exactly. It is simple to use and provides you with a nicely rendered image after making the adjustments.We find that DALL♾ is able to apply several kinds of image transformations to photos of animals, with varying degrees of reliability. It can denoise and unblur low-quality images, quickly transforming them into high-quality photos.īatch AI Photo Sharpener is a powerful tool that includes two built-in AI algorithms (Photo/Graphic) and 3 Modes (Denoise/Clear/Sharp), giving you the ability to switch up depending on the specific image type and job requirements.īatch AI Photo Sharpener processes your images locally via your graphics card, keeping your images safe and secure. Batch AI Photo Sharpener sharpens and enhances photos in bulk offline using AI and Deep Learning algorithms.
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