https://github.com/ivanmontero/autobot
공식 코드Sentence Bottleneck Autoencoders from Transformer Language Models
Papers with Code 아카이브
Drawing Pictures
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/izhanvarsky/vectornst
공식 코드https://github.com/jakezhaojb/ARAE
공식 코드https://github.com/jamie-cheung/artbank
공식 코드ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank
https://github.com/jamie-cheung/lsast
공식 코드https://github.com/jankowskichristopher/red-teaming-segment-anything-model
공식 코드https://github.com/jarek-pawlowski/microbial-dataset-generation
공식 코드Generation of microbial colonies dataset with deep learning style transfer
https://github.com/jayoungkim408/sos
공식 코드https://github.com/jayparanjape/f-vita
공식 코드F-ViTA: Foundation Model Guided Visible to Thermal Translation
https://github.com/jcyang98/inst
공식 코드Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation
https://github.com/jeremyxsc/finegpr
공식 코드Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
https://github.com/jhtonykoo/music_mixing_style_transfer
공식 코드Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects
https://github.com/jiashunwang/Neural-Pose-Transfer
공식 코드Neural Pose Transfer by Spatially Adaptive Instance Normalization
https://github.com/jiechen2358/VirtualFittingRoom
공식 코드https://github.com/jiwoogit/StyleID
공식 코드https://github.com/johannwyh/styleinv
공식 코드StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation
https://github.com/jonhare/DifferentiableSketching
공식 코드https://github.com/josephcao0327/stylefool
공식 코드StyleFool: Fooling Video Classification Systems via Style Transfer
https://github.com/judydnguyen/pardon-feddg
공식 코드PARDON: Privacy-Aware and Robust Federated Domain Generalization
https://github.com/junhocho/paired-glyph-matching
공식 코드https://github.com/junleen/RainNet
공식 코드Region-aware Adaptive Instance Normalization for Image Harmonization
https://github.com/junyanz/CycleGAN
공식 코드Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
공식 코드Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
https://github.com/juseonghan/meshbrush
공식 코드MeshBrush: Painting the Anatomical Mesh with Neural Stylization for Endoscopy
https://github.com/jwen307/diamondintherough
공식 코드Diamond in the rough: Improving image realism by traversing the GAN latent space
https://github.com/kartikeypant/text-simplification-qa-www2021
공식 코드Text Simplification for Comprehension-based Question-Answering
https://github.com/katieluo88/staypositive
공식 코드Stay Positive: Non-Negative Image Synthesis for Augmented Reality
https://github.com/kedz/styleeq
공식 코드Low-Level Linguistic Controls for Style Transfer and Content Preservation
https://github.com/keithecarlson/StyleTransferBibleData
공식 코드https://github.com/kent0n-li/samscore
공식 코드SAMScore: A Content Structural Similarity Metric for Image Translation Evaluation
https://github.com/keonlee9420/STYLER
공식 코드https://github.com/keshavbhandari/improvnet
공식 코드ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement
https://github.com/khainb/quasi-sw
공식 코드https://github.com/kibeom-hong/aespa-net
공식 코드https://github.com/kibeom-hong/domain-aware-style-transfer
공식 코드https://github.com/kikyo-16/coco-mulla-repo
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.