Papers with Code 아카이브

Indoor Scene Reconstruction

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
1
평가표
0
보존된 평가 기록
0

데이터셋

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

Rent3D++

Rent3D++ is an extension of the Rent3D floorplans + photos dataset. The floorplans are annotated with room outline polygons, doors/windows as line segments, object-icons as axis-aligned bounding boxes, room-door-room connectivity graphs, and photo-room assignments. We have extracted rectified surface crops from architectural surfaces in photos, and these can drive interior texturing/material modeling tasks. This dataset can be used with our paper Plan2Scene to generate textured 3D mesh models of houses using floorplans and photos. The complete list of improvements we did on the Rent3D dataset are as follows: - Fixed incorrectly categorized rooms and added wall outlines and categories from missing rooms. - Expanding the room category set {reception, bedroom, kitchen, bathroom, outdoor} by adding another 7 common room types: {closet, entrance, corridor, staircase, balcony, terrace, unknown}. - Generated room-door-room connectivity graphs for floorplans. - Annotated all windows, doors, and other wall openings, and associated them with corresponding rooms. - Defined a new 60/20/20% (129/43/43 houses) training, validation, test split (cf. original 100/30/85 house split), giving more samples to training and validation. - Extract rectified surface crops from architectural surfaces seen in photos (floors, walls, ceilings). - Annotated axis-aligned bounding boxes for fixed object icons indicated on the test set floorplans.

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