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Table · dataset · 2022

johnowhitaker/vqgan16k_reconstruction

Listed in Hugging Face Datasets

Description

VQGAN is great, but leaves artifacts that are especially visible around things like faces. It's be great to be able to train a model to fix ('devqganify') these flaws. For this purpose, I've made this dataset, which contains >100k examples, each with A 512px image A smaller 256px version of the same image A reconstructed version, which is made by encoding the 256px image with VQGAN (f16, 16384 imagenet version from heibox.uni-heidelberg.de/d/a7530b09fed84f80a887/) and then decoding… See the full description on the dataset page: huggingface.co/datasets/johnowhitaker/vqgan16k_reconstruction.

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Image 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsjohnowhitaker/vqgan16k_reconstruction13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:imageenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0