SOTAVerified

Image Manipulation

Image Manipulation is the process of altering or transforming an existing image to achieve a desired effect or to modify its content. This can involve various techniques and tools to enhance, modify, or create images based on specific requirements.

Papers

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Showing 171–180 of 427 papers

TitleStatusHype
CIMGEN: Controlled Image Manipulation by Finetuning Pretrained Generative Models on Limited Data—0
A Skip Connection Architecture for Localization of Image Manipulations—0
Incorporating Ensemble and Transfer Learning For An End-To-End Auto-Colorized Image Detection Model—0
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds—0
Distraction is All You Need: Memory-Efficient Image Immunization against Diffusion-Based Image Editing—0
AIM 2019 Challenge on Image Demoireing: Methods and Results—0
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation—0
Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?—0
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results—0
Advancing 3D Gaussian Splatting Editing with Complementary and Consensus Information—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Pix2PixHD-SIALPIPS (S1)0.44—Unverified
2TPSLPIPS (S1)0.12—Unverified