https://github.com/fuenwang/LED2-Net
공식 코드LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Papers with Code 아카이브
3D Room Layouts From A Single RGB Panorama
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Image: Zou et al
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/starrah/dmh-net
공식 코드3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
https://github.com/sunset1995/HoHoNet
공식 코드HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
https://github.com/sunset1995/HorizonNet
공식 코드HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
https://github.com/zouchuhang/LayoutNetv2
공식 코드LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
https://github.com/SunDaDenny/DuLa-Net
DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
https://github.com/cfernandezlab/CFL
Corners for Layout: End-to-End Layout Recovery from 360 Images
https://github.com/crs4/AtlantaNet
https://github.com/flyreelai/sslayout360
SSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama
https://github.com/palver7/CFLPytorch
Corners for Layout: End-to-End Layout Recovery from 360 Images
https://github.com/palver7/EquiConvPytorch
Corners for Layout: End-to-End Layout Recovery from 360 Images
https://github.com/sunset1995/pytorch-layoutnet
LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.