Instructpix2pix: Learning to follow image editing instructions
We propose a method for editing images from human instructions: given an input image and
a written instruction that tells the model what to do, our model follows these instructions to …
a written instruction that tells the model what to do, our model follows these instructions to …
Diffusion self-guidance for controllable image generation
Large-scale generative models are capable of producing high-quality images from detailed
prompts. However, many aspects of an image are difficult or impossible to convey through …
prompts. However, many aspects of an image are difficult or impossible to convey through …
Fake it till you make it: Learning transferable representations from synthetic imagenet clones
Recent image generation models such as Stable Diffusion have exhibited an impressive
ability to generate fairly realistic images starting from a simple text prompt. Could such …
ability to generate fairly realistic images starting from a simple text prompt. Could such …
Survey on leveraging pre-trained generative adversarial networks for image editing and restoration
Generative adversarial networks (GANs) have drawn enormous attention due to their simple
yet effective training mechanism and superior image generation quality. With the ability to …
yet effective training mechanism and superior image generation quality. With the ability to …
Generalizing dataset distillation via deep generative prior
Dataset Distillation aims to distill an entire dataset's knowledge into a few synthetic images.
The idea is to synthesize a small number of synthetic data points that, when given to a …
The idea is to synthesize a small number of synthetic data points that, when given to a …
Gan inversion: A survey
GAN inversion aims to invert a given image back into the latent space of a pretrained GAN
model so that the image can be faithfully reconstructed from the inverted code by the …
model so that the image can be faithfully reconstructed from the inverted code by the …
Restyle: A residual-based stylegan encoder via iterative refinement
Y Alaluf, O Patashnik… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Recently, the power of unconditional image synthesis has significantly advanced through
the use of Generative Adversarial Networks (GANs). The task of inverting an image into its …
the use of Generative Adversarial Networks (GANs). The task of inverting an image into its …
Illiterate dall-e learns to compose
Although DALL-E has shown an impressive ability of composition-based systematic
generalization in image generation, it requires the dataset of text-image pairs and the …
generalization in image generation, it requires the dataset of text-image pairs and the …
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 …
Picture that sketch: Photorealistic image generation from abstract sketches
Given an abstract, deformed, ordinary sketch from untrained amateurs like you and me, this
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …
paper turns it into a photorealistic image-just like those shown in Fig. 1 (a), all non-cherry …