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Methods/PixelCNN

PixelCNN

Computer VisionIntroduced 200045 papers
Source Paper

Description

A PixelCNN is a generative model that uses autoregressive connections to model images pixel by pixel, decomposing the joint image distribution as a product of conditionals. PixelCNNs are much faster to train than PixelRNNs because convolutions are inherently easier to parallelize; given the vast number of pixels present in large image datasets this is an important advantage.

Papers Using This Method

HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models2025-03-14PixelBytes: Catching Unified Representation for Multimodal Generation2024-09-16PixelBytes: Catching Unified Embedding for Multimodal Generation2024-09-03SERNet-Former: Semantic Segmentation by Efficient Residual Network with Attention-Boosting Gates and Attention-Fusion Networks2024-01-28An attempt to generate new bridge types from latent space of PixelCNN2024-01-11Deep autoregressive modeling for land use land cover2024-01-02HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes2023-12-31SeaDSC: A video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles2023-11-20S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction2023-07-13Phased Data Augmentation for Training a Likelihood-Based Generative Model with Limited Data2023-05-22Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders2022-09-30Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation2022-08-09Information Entropy Initialized Concrete Autoencoder for Optimal Sensor Placement and Reconstruction of Geophysical Fields2022-06-28Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised Manner2022-05-09A model of semantic completion in generative episodic memory2021-11-26An Unsupervised Video Game Playstyle Metric via State Discretization2021-10-03Towards Generative Latent Variable Models for Speech2021-09-29Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency2021-09-25Cascaded Diffusion Models for High Fidelity Image Generation2021-05-30Unsupervised Representation Learning from Pathology Images with Multi-directional Contrastive Predictive Coding2021-05-11