Image Morphing
19 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Image Morphing
Most implemented papers
Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?
yuval-alaluf/hyperstyle
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ICCV 2019
We propose an efficient algorithm to embed a given image into the latent space of StyleGAN.
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
kornia/kornia
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This work presents Kornia -- an open source computer vision library which consists of a set of differentiable routines and modules to solve generic computer vision problems.
StyleGAN2 Distillation for Feed-forward Image Manipulation
EvgenyKashin/stylegan2-distillation
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ECCV 2020
Editing existing images requires embedding a given image into the latent space of StyleGAN2.
Neural Best-Buddies: Sparse Cross-Domain Correspondence
Correspondence between images is a fundamental problem in computer vision, with a variety of graphics applications.
Deep PCB To COCO Convertor
It has 1500 image pairs.
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing
drorsimon/image_barycenters
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Image interpolation, or image morphing, refers to a visual transition between two (or more) input images.
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
XingangPan/deep-generative-prior
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ECCV 2020
Learning a good image prior is a long-term goal for image restoration and manipulation.
Image Morphing with Perceptual Constraints and STN Alignment
noafish/MorphGAN
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In image morphing, a sequence of plausible frames are synthesized and composited together to form a smooth transformation between given instances.
Neural Crossbreed: Neural Based Image Metamorphosis
sanghunpark/neural_crossbreed
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We propose Neural Crossbreed, a feed-forward neural network that can learn a semantic change of input images in a latent space to create the morphing effect.
Vulnerability Analysis of Face Morphing Attacks from Landmarks and Generative Adversarial Networks
Morphing attacks is a threat to biometric systems where the biometric reference in an identity document can be altered.
