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Virtual Try-Off

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
0
평가표
1
보존된 평가 기록
1

Virtual Try-Off (VTOFF) is a novel computer vision task that extracts standardized, canonical garment images from single photos of clothed individuals, moving beyond traditional virtual try-on techniques by focusing on precise garment reconstruction rather than model dressing. The task was introduced in TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models.

데이터셋

출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.

VITON-HD

VITON-HD dataset is a dataset for high-resolution (i.e., 1024x768) virtual try-on of clothing items. Specifically, it consists of 13,679 frontal-view woman and top clothing image pairs.

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.