ARPG
A
ARPG
Developed by hp-l33
ARPG is an innovative autoregressive image generation framework capable of achieving BERT-style masked modeling through a GPT-like causal architecture.
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Release Time : 3/9/2025
Model Overview
ARPG is an autoregressive image generation framework that combines GPT's causal architecture with BERT's masked modeling techniques to efficiently generate high-quality images.
Model Features
High Performance
Achieves an FID score of 1.94, generating high-quality images
Efficient Generation
Utilizes stochastic parallel decoding for fast generation
Low Memory Footprint
Optimized memory usage, suitable for resource-limited environments
Random Order Generation
Supports image generation in random orders
Zero-shot Inference
Performs inference without additional training
Model Capabilities
Unconditional Image Generation
Class-conditional Image Generation
High-quality Image Synthesis
Use Cases
Creative Design
Art Creation
Generates unique artistic works
High-quality artistic images
Data Augmentation
Training Data Expansion
Generates training data for machine learning models
Diverse training samples
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