syn-rep-learn

Learning visual representation models from synthetic data

CommonProductProgrammingVisual Representation LearningSynthetic Data

This code repository includes research on learning from synthetic image data (mainly images), including three projects: StableRep, Scaling, and SynCLR. These projects explore how to utilize synthetic images generated by text-to-image models for training visual representation models and have achieved very good results.

Provides three projects for learning synthetic visual representations: StableRep
Scaling
and SynCLR
Open-source code for training custom visual representation models

Researchers in the field of computer vision can conduct research on visual representation learning algorithms based on this code library
Developers of visual representation models can quickly implement training for visual representation models based on this code library

Researchers can use the StableRep implementation in the code library to train a visual representation model of synthetic images generated by a text-to-image model
Developers can use the code from the Scaling project in the code library to implement large-scale training of visual representation models
By using the code and model provided by the SynCLR project
high-quality visual representations can be learned from synthetic data only

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