![]() ![]() 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. StackGAN and StackGAN++ use multi-scale GANs to scale up the image resolution and improve visual fidelity. 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. 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. 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. If you have any GIFs stored on your device, they'll be displayed in the main interface.Īlong the bottom row, you'll find four buttons to (left to right) open the camera and make a GIF, create a GIF from still media on your phone, create a GIF from videos, and the fourth option will let you take an existing GIF and edit it to your liking.We find that DALL♾ is able to apply several kinds of image transformations to photos of animals, with varying degrees of reliability. The GifBoom Pro interface is dead simple to use. The good thing is that important features like stop-motion, time-lapse, and other shots are also supported. You can add stickers, cool color filters, custom text, and other basic effects. You can also edit, shorten or merge existing GIFs. Gif Me Camera is primarily a camera app, but you can also use it to make your own GIFs. For the purposes of simply making animated GIFs, we deferred to the standalone GifBoom Pro for our purposes. GIF Maker Allows you to combine separate image files as frames to create your own animated GIFs. GifBoom is more network-oriented and seems intended more for sharing. ![]() There are two flavors of GifBoom available for iPhone: GifBoom and GifBoom Pro. There are quite a few GIF-making titles in the App Store, but in the end, we found one (GifBoom Pro) that really fit the bill as cleanly the aforementioned GIF Maker (there is a version of GifBoom available for Android in the Play Store, but it's not as highly rated as GIF Maker). We found it fairly easy and straightforward to quickly make GIFs in just a few minutes. GIF Maker is likely to please most people using the Android platform, and best of all it is free to use. ![]()
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