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This Image Caption Generator project enhances an existing attention-based Encoder-Decoder model by Al-Malla et al., adapting it for the Flickr30k dataset and introducing architectural improvements for ...
A PyTorch-based image captioning model using ResNet50 as the encoder and LSTM as the decoder. This model generates captions for images by learning from the Flickr30k dataset. You can run the inference ...
This paper considers the well-known deep learning problem of generating a textual description of an image. The proposed model has used InceptionV3and Beam search to run the picture descriptor ...
In a paper, researchers from Huawei Noah's Ark Lab, Dalian University of Technology, Tsinghua University, and Hugging Face presented PixArt-δ (Delta), an advanced text-to-image synthesis framework ...
This model is the most powerful open-source, customizable text-to-image generator to date. SD3l is released under a free non-commercial license and is available via Hugging Face. It is also ... of ...
The company calls Janus-Pro a "novel autoregressive framework" that solves previous challenges by separating the steps for analyzing and generating images ... the visual encoder's roles in ...
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