State of the art on neural rendering
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …
A survey on generative adversarial networks: Variants, applications, and training
The Generative Models have gained considerable attention in unsupervised learning via a
new and practical framework called Generative Adversarial Networks (GAN) due to their …
new and practical framework called Generative Adversarial Networks (GAN) due to their …
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 …
Blended latent diffusion
The tremendous progress in neural image generation, coupled with the emergence of
seemingly omnipotent vision-language models has finally enabled text-based interfaces for …
seemingly omnipotent vision-language models has finally enabled text-based interfaces for …
Blended diffusion for text-driven editing of natural images
O Avrahami, D Lischinski… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
Natural language offers a highly intuitive interface for image editing. In this paper, we
introduce the first solution for performing local (region-based) edits in generic natural …
introduce the first solution for performing local (region-based) edits in generic natural …
Simmim: A simple framework for masked image modeling
This paper presents SimMIM, a simple framework for masked image modeling. We have
simplified recently proposed relevant approaches, without the need for special designs …
simplified recently proposed relevant approaches, without the need for special designs …
Sdedit: Guided image synthesis and editing with stochastic differential equations
Guided image synthesis enables everyday users to create and edit photo-realistic images
with minimum effort. The key challenge is balancing faithfulness to the user input (eg, hand …
with minimum effort. The key challenge is balancing faithfulness to the user input (eg, hand …
Hierarchical fine-grained image forgery detection and localization
Differences in forgery attributes of images generated in CNN-synthesized and image-editing
domains are large, and such differences make a unified image forgery detection and …
domains are large, and such differences make a unified image forgery detection and …
Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection
Recent studies in deepfake detection have yielded promising results when the training and
testing face forgeries are from the same dataset. However, the problem remains challenging …
testing face forgeries are from the same dataset. However, the problem remains challenging …
Ad-nerf: Audio driven neural radiance fields for talking head synthesis
Generating high-fidelity talking head video by fitting with the input audio sequence is a
challenging problem that receives considerable attentions recently. In this paper, we …
challenging problem that receives considerable attentions recently. In this paper, we …