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Handwriting generation
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The inverse of handwriting recognition. From text generate and image of handwriting (offline) of trajectory of handwriting (online).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dailenson/sdt
공식 코드Disentangling Writer and Character Styles for Handwriting Generation
https://github.com/dbrainio/cyrillichandwritingpoc
공식 코드Data Generation for Post-OCR correction of Cyrillic handwriting
https://github.com/emreaksan/deepwriting
공식 코드DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
https://github.com/herobd/handwriting_line_generation
공식 코드Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
https://github.com/hnam-1765/writevit
공식 코드WriteViT: Handwritten Text Generation with Vision Transformer
https://github.com/koninik/htg_evaluation
공식 코드Rethinking HTG Evaluation: Bridging Generation and Recognition
https://github.com/koninik/wordstylist
공식 코드WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
https://github.com/tcl9876/Diffusion-Handwriting-Generation
공식 코드https://github.com/FaceOnLive/ID-Card-Passport-Recognition-SDK-Android
Data Generation for Post-OCR correction of Cyrillic handwriting
https://github.com/Nikolai10/scrabble-gan
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
https://github.com/amzn/convolutional-handwriting-gan
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
https://github.com/arshjot/ScrabbleGAN
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
https://github.com/cellistigs/ensemble_attention
https://github.com/chrhenning/hypnettorch
https://github.com/g1910/HyperNetworks
https://github.com/gahaalt/continual-learning-overview
https://github.com/gahaalt/continual-learning-with-hypernets
https://github.com/gtegner/hyper-gan
https://github.com/labmlai/annotated_deep_learning_paper_implementations
https://github.com/mojesty/professor_forcing
Professor Forcing: A New Algorithm for Training Recurrent Networks
https://github.com/pennfranc/hypnettorch
https://github.com/shyamsn97/hyper-nn
https://github.com/sleep3r/Diffusion-Handwriting-Generation.pytorch
https://github.com/tjuhaoxiaotian/pymarl3
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.