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Dec 5, 2024 · In this paper, we propose ZipAR, a training-free, plug-and-play parallel decoding framework for accelerating auto-regressive (AR) visual generation. The motivation stems from …

This repository provides the implementation for our paper "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality". Our approach can greatly accelerate the …

We developed ZipAR, a method that speeds up image generation by predicting multiple pieces of the image simultaneously, without retraining the model. Our key insight is that distant parts of …

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In this paper, we propose ZipAR, a training-free, plug-and-play parallel decoding framework for accelerating autoregressive (AR) visual generation. The motivation stems from the observation …

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Dec 5, 2024 · In this paper, we introduce ZipAR, a parallel decoding framework designed to accelerate AR visual generation.