Papers with Code 아카이브
Virtual Try-on
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 9
- 보존된 평가 기록
- 24
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/BoyuanJiang/FitDiT
공식 코드FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on
https://github.com/ChenFengYe/TightCap
공식 코드TightCap: 3D Human Shape Capture with Clothing Tightness Field
https://github.com/ChongjianGE/DCTON
공식 코드Disentangled Cycle Consistency for Highly-realistic Virtual Try-On
https://github.com/GAP-LAB-CUHK-SZ/deepFashion3D
공식 코드Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
https://github.com/Honlan/DMT
공식 코드Disentangled Makeup Transfer with Generative Adversarial Network
https://github.com/Jerome-Young/D4-VTON
공식 코드D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
https://github.com/KiseKloset/DM-VTON
공식 코드https://github.com/OFA-Sys/DAFlow
공식 코드https://github.com/RuiLiFeng/Deep-Generative-Projection
공식 코드https://github.com/VinAIResearch/CPM
공식 코드Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
https://github.com/ZaiqiangWu/RTV
공식 코드Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-On
https://github.com/aimagelab/dress-code
공식 코드https://github.com/aimagelab/ti-mgd
공식 코드Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editing
https://github.com/aipixel/pl-vtonv2
공식 코드Limb-Aware Virtual Try-On Network with Progressive Clothing Warping
https://github.com/ali-vilab/anydoor
공식 코드https://github.com/andrewjong/ShineOn-Virtual-Tryon
공식 코드ShineOn: Illuminating Design Choices for Practical Video-based Virtual Clothing Try-on
https://github.com/annnonymousss/BVTON
공식 코드High-Fidelity Virtual Try-on with Large-Scale Unpaired Learning
https://github.com/aymenmir1/pix2surf
공식 코드Learning to Transfer Texture from Clothing Images to 3D Humans
https://github.com/bcmi/DCI-VTON-Virtual-Try-On
공식 코드Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow
https://github.com/benquick123/c-vton
공식 코드https://github.com/bytedance/latentunfold
공식 코드Flux Already Knows -- Activating Subject-Driven Image Generation without Training
https://github.com/cuiaiyu/dressing-in-order
공식 코드https://github.com/damo-vilab/composer
공식 코드Composer: Creative and Controllable Image Synthesis with Composable Conditions
https://github.com/davidelobba/TEMU-VTOFF
공식 코드Inverse Virtual Try-On: Generating Multi-Category Product-Style Images from Clothed Individuals
https://github.com/franciszzj/leffa
공식 코드Learning Flow Fields in Attention for Controllable Person Image Generation
https://github.com/fyviezhao/m3d-vton
공식 코드https://github.com/gal4way/tpd
공식 코드Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
https://github.com/geyuying/PF-AFN
공식 코드https://github.com/hasibzunair/fifa-tryon
공식 코드Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On
https://github.com/hidream-ai/spm-diff
공식 코드Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
https://github.com/huangzy225/3d-gcl
공식 코드Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning
https://github.com/huuxiaobin/vtbench
공식 코드VTBench: Comprehensive Benchmark Suite Towards Real-World Virtual Try-on Models
https://github.com/hywang2002/mv-vton
공식 코드https://github.com/illumara/vton-handfit
공식 코드VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
https://github.com/isantesteban/vto-garment-collisions
공식 코드Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.