Image-Variation
10 papers with code • 0 benchmarks • 0 datasets
Given an image, generate variations of the image
Benchmarks
These leaderboards are used to track progress in Image-Variation
Most implemented papers
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network
In recent years, several works proposed an end-to-end framework for facial expression recognition, using deep learning models.
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
shi-labs/versatile-diffusion
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ICCV 2023
In this work, we expand the existing single-flow diffusion pipeline into a multi-task multimodal network, dubbed Versatile Diffusion (VD), that handles multiple flows of text-to-image, image-to-text, and variations in one unified model.
Deep PCB To COCO Convertor
It has 1500 image pairs.
Real-World Image Variation by Aligning Diffusion Inversion Chain
dvlab-research/rival
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NeurIPS 2023
Our pipeline enhances the generation quality of image variations by aligning the image generation process to the source image's inversion chain.
A Geometric Analysis of Deep Generative Image Models and Its Applications
Animadversio/GAN-Geometry
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ICLR 2021
We show that the use of this metric allows for more efficient optimization in the latent space (e. g. GAN inversion) and facilitates unsupervised discovery of interpretable axes.
The Geometry of Deep Generative Image Models and its Applications
Our results illustrate that defining the geometry of the GAN image manifold can serve as a general framework for understanding GANs.
The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video
toyotaresearchinstitute/remoteppg
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ICCV 2021
The ability to reliably estimate physiological signals from video is a powerful tool in low-cost, pre-clinical health monitoring.
AugStatic - A Light-Weight Image Augmentation Library
avs-abhishek123/AugStatic
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Journal of Emerging Technologies and Innovative Research (JETIR) 2022
AugStatic is a custom-built image augmentation library with lower computation costs and more extraordinary salient features compared to other image augmentation libraries.
Augmented Balanced Image Dataset Generator Using AugStatic Library
avs-abhishek123/Balanced_Augmented_ImageDatasetGenerator
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International Journal Of Research And Analytical Reviews (IJRAR) 2022
This paper focuses on the image dataset generator that balances an imbalanced dataset using the AugStatic augmentation library.
Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
shi-labs/prompt-free-diffusion
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Text-to-image (T2I) research has grown explosively in the past year, owing to the large-scale pre-trained diffusion models and many emerging personalization and editing approaches.
