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Virtual Try-on
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Virtual try-on of clothing or other items such as glasses and makeup. Most recent techniques use Generative Adversarial Networks.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jiazheng-xing/tryon-adapter
공식 코드TryOn-Adapter: Efficient Fine-Grained Clothing Identity Adaptation for High-Fidelity Virtual Try-On
https://github.com/jokerlc/rmgn-viton
공식 코드RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on
https://github.com/jychen9811/doc-vton
공식 코드OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup
https://github.com/l1346792580123/spa
공식 코드https://github.com/levihsu/ootdiffusion
공식 코드OOTDiffusion: Outfitting Fusion based Latent Diffusion for Controllable Virtual Try-on
https://github.com/lingjiekong-fdu/anymaker
공식 코드https://github.com/lingjiekong-fdu/custany
공식 코드https://github.com/liren2515/dmap
공식 코드Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
https://github.com/little-misfit/boow-vton
공식 코드BooW-VTON: Boosting In-the-Wild Virtual Try-On via Mask-Free Pseudo Data Training
https://github.com/little-misfit/survey-of-virtual-try-on
공식 코드https://github.com/luxiangju-personai/clothformer
공식 코드https://github.com/maria-korosteleva/Garment-Pattern-Estimation
공식 코드NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
https://github.com/martinpernus/fice
공식 코드FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion
https://github.com/miccunifi/ladi-vton
공식 코드LaDI-VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On
https://github.com/minar09/awesome-virtual-try-on
공식 코드https://github.com/minqili/viton-drr-main
공식 코드VITON-DRR: Details Retention Virtual Try-on via Non-rigid Registration
https://github.com/modelscope/facechain
공식 코드FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content
https://github.com/modelscope/modelscope
공식 코드https://github.com/muzishen/imagdressing
공식 코드https://github.com/neoglez/neural-anthropometer
공식 코드A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes
https://github.com/nerdfny/pgvton
공식 코드PG-VTON: A Novel Image-Based Virtual Try-On Method via Progressive Inference Paradigm
https://github.com/picksh/fashiontex
공식 코드FashionTex: Controllable Virtual Try-on with Text and Texture
https://github.com/rizavelioglu/tryoffdiff
공식 코드TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models
https://github.com/rlawjdghek/promptdresser
공식 코드https://github.com/rlawjdghek/stableviton
공식 코드StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
https://github.com/ruihangao/visual-tactile-synthesis
공식 코드https://github.com/sail-sg/sewformer
공식 코드Towards Garment Sewing Pattern Reconstruction from a Single Image
https://github.com/sangyun884/hr-viton
공식 코드High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions
https://github.com/senhe/flow-style-vton
공식 코드https://github.com/sergeywong/cp-vton
공식 코드Toward Characteristic-Preserving Image-based Virtual Try-On Network
https://github.com/shadow2496/VITON-HD
공식 코드VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization
https://github.com/sherryxtchen/sico
공식 코드SiCo: An Interactive Size-Controllable Virtual Try-On Approach for Informed Decision-Making
https://github.com/shi-labs/prompt-free-diffusion
공식 코드Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
https://github.com/shionhonda/viton-gan
공식 코드VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss
https://github.com/shshim0513/sd-viton
공식 코드Towards Squeezing-Averse Virtual Try-On via Sequential Deformation
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