This is the official repository of paper Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching. We propose Distilled Decoding (DD) to distill a pre-trained image ...
6don MSN
Image SEO for multimodal AI
Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...
Abstract: Decoding environmental inputs and cognitive states from brain activities is fundamental challenge in neuroscience. In recent years, deep learning has made significant strides in decoding ...
Abstract: Atmospheric pollutants, such as haze, severely affect the quality of remote sensing images, leading to blurred details and impairing their effectiveness in applications like environmental ...
Average decoding scores for modality-agnostic decoders (green), compared to modality-specific decoders trained on data from subjects viewing images (orange) or on data from subjects viewing captions ...
torchrun --nproc_per_node=8 --nnodes=1 \ main_cache.py \ --img_size 256 --vqgan_path tokenizers/vq_ds16_c2i.pt \ --data_path ${IMAGENET_PATH}--cached_path ${CACHED ...
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