Image Decoder

Image decoders are neural network components that reconstruct complex data, such as images or visual features, from compressed or encoded representations. Current research emphasizes improving decoder architectures, often employing transformers, diffusion models, or autoencoders, to enhance reconstruction quality, handle diverse data modalities (e.g., vision and language), and address challenges like limited data or out-of-distribution samples. These advancements are significant for various applications, including brain-computer interfaces, scene text recognition, and image compression, by enabling more accurate and efficient data processing and generation.