Instructpix2pix: Learning to follow image editing instructions

T Brooks, A Holynski, AA Efros - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
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 …

Diffusion self-guidance for controllable image generation

D Epstein, A Jabri, B Poole, A Efros… - Advances in Neural …, 2023 - proceedings.neurips.cc
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 …

Fake it till you make it: Learning transferable representations from synthetic imagenet clones

MB Sarıyıldız, K Alahari, D Larlus… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Survey on leveraging pre-trained generative adversarial networks for image editing and restoration

M Liu, Y Wei, X Wu, W Zuo, L Zhang - Science China Information Sciences, 2023 - Springer
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 …

Generalizing dataset distillation via deep generative prior

G Cazenavette, T Wang, A Torralba… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Gan inversion: A survey

W Xia, Y Zhang, Y Yang, JH Xue… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

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 …

Illiterate dall-e learns to compose

G Singh, F Deng, S Ahn - arXiv preprint arXiv:2110.11405, 2021 - arxiv.org
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 …

Pose with style: Detail-preserving pose-guided image synthesis with conditional stylegan

B Albahar, J Lu, J Yang, Z Shu, E Shechtman… - ACM Transactions on …, 2021 - dl.acm.org
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 …

Picture that sketch: Photorealistic image generation from abstract sketches

S Koley, AK Bhunia, A Sain… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …