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Found 7 papers, 0 papers with code
Controlled and Conditional Text to Image Generation with Diffusion Prior
We observe that Diffusion Prior can be used in a memory and compute efficient way to constrain the generation to a specific domain without altering the larger Diffusion Decoder.
HyperNST: Hyper-Networks for Neural Style Transfer
We present HyperNST; a neural style transfer (NST) technique for the artistic stylization of images, based on Hyper-networks and the StyleGAN2 architecture.
StyleBabel: Artistic Style Tagging and Captioning
We present StyleBabel, a unique open access dataset of natural language captions and free-form tags describing the artistic style of over 135K digital artworks, collected via a novel participatory method from experts studying at specialist art and design schools.
Multimodal Contrastive Training for Visual Representation Learning
We first train our model on COCO and evaluate the learned visual representations on various downstream tasks including image classification, object detection, and instance segmentation.
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity
We present ALADIN (All Layer AdaIN); a novel architecture for searching images based on the similarity of their artistic style.
Face Image Retrieval With Attribute Manipulation
For example, a user can ask for retrieving images similar to a query image, but with a different hair color, and no preference for absence/presence of eyeglasses in the results.
Multitask Text-to-Visual Embedding with Titles and Clickthrough Data
In this paper, we propose a new method for learning text-visual embedding using both image titles and click-through data from an image search engine.
