Paint by example: Exemplar-based image editing with diffusion models
Abstract Language-guided image editing has achieved great success recently. In this paper,
we investigate exemplar-guided image editing for more precise control. We achieve this …
we investigate exemplar-guided image editing for more precise control. We achieve this …
Vqgan-clip: Open domain image generation and editing with natural language guidance
K Crowson, S Biderman, D Kornis, D Stander… - … on Computer Vision, 2022 - Springer
Generating and editing images from open domain text prompts is a challenging task that
heretofore has required expensive and specially trained models. We demonstrate a novel …
heretofore has required expensive and specially trained models. We demonstrate a novel …
Ilvr: Conditioning method for denoising diffusion probabilistic models
Denoising diffusion probabilistic models (DDPM) have shown remarkable performance in
unconditional image generation. However, due to the stochasticity of the generative process …
unconditional image generation. However, due to the stochasticity of the generative process …
[PDF][PDF] Deep vit features as dense visual descriptors
We study the use of deep features extracted from a pretrained Vision Transformer (ViT) as
dense visual descriptors. We observe and empirically demonstrate that such features, when …
dense visual descriptors. We observe and empirically demonstrate that such features, when …
Image-to-image translation: Methods and applications
Image-to-image translation (I2I) aims to transfer images from a source domain to a target
domain while preserving the content representations. I2I has drawn increasing attention and …
domain while preserving the content representations. I2I has drawn increasing attention and …
Exploiting spatial dimensions of latent in gan for real-time image editing
Generative adversarial networks (GANs) synthesize realistic images from random latent
vectors. Although manipulating the latent vectors controls the synthesized outputs, editing …
vectors. Although manipulating the latent vectors controls the synthesized outputs, editing …
Explaining in style: Training a gan to explain a classifier in stylespace
Image classification models can depend on multiple different semantic attributes of the
image. An explanation of the decision of the classifier needs to both discover and visualize …
image. An explanation of the decision of the classifier needs to both discover and visualize …
Pose with style: Detail-preserving pose-guided image synthesis with conditional stylegan
We present an algorithm for re-rendering a person from a single image under arbitrary
poses. Existing methods often have difficulties in hallucinating occluded contents photo …
poses. Existing methods often have difficulties in hallucinating occluded contents photo …
Facial-sketch synthesis: A new challenge
This paper aims to conduct a comprehensive study on facial-sketch synthesis (FSS).
However, due to the high cost of obtaining hand-drawn sketch datasets, there is a lack of a …
However, due to the high cost of obtaining hand-drawn sketch datasets, there is a lack of a …
Ensembling off-the-shelf models for gan training
The advent of large-scale training has produced a cornucopia of powerful visual recognition
models. However, generative models, such as GANs, have traditionally been trained from …
models. However, generative models, such as GANs, have traditionally been trained from …