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[HTML][HTML] A review of techniques for 3d reconstruction of indoor environments
Indoor environment model reconstruction has emerged as a significant and challenging task
in terms of the provision of a semantically rich and geometrically accurate indoor model …
in terms of the provision of a semantically rich and geometrically accurate indoor model …
Omni3d: A large benchmark and model for 3d object detection in the wild
Recognizing scenes and objects in 3D from a single image is a longstanding goal of
computer vision with applications in robotics and AR/VR. For 2D recognition, large datasets …
computer vision with applications in robotics and AR/VR. For 2D recognition, large datasets …
Total3dunderstanding: Joint layout, object pose and mesh reconstruction for indoor scenes from a single image
Semantic reconstruction of indoor scenes refers to both scene understanding and object
reconstruction. Existing works either address one part of this problem or focus on …
reconstruction. Existing works either address one part of this problem or focus on …
Advances in Data‐Driven Analysis and Synthesis of 3D Indoor Scenes
This report surveys advances in deep learning‐based modelling techniques that address
four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We …
four different 3D indoor scene analysis tasks, as well as synthesis of 3D indoor scenes. We …
Layoutnet: Reconstructing the 3d room layout from a single rgb image
We propose an algorithm to predict room layout from a single image that generalizes across
panoramas and perspective images, cuboid layouts and more general layouts (eg" L"-shape …
panoramas and perspective images, cuboid layouts and more general layouts (eg" L"-shape …
Holistic 3d scene understanding from a single image with implicit representation
We present a new pipeline for holistic 3D scene understanding from a single image, which
could predict object shape, object pose and scene layout. As it is a highly ill-posed problem …
could predict object shape, object pose and scene layout. As it is a highly ill-posed problem …
Horizonnet: Learning room layout with 1d representation and pano stretch data augmentation
We present a new approach to the problem of estimating the 3D room layout from a single
panoramic image. We represent room layout as three 1D vectors that encode, at each image …
panoramic image. We represent room layout as three 1D vectors that encode, at each image …
Learning to parse wireframes in images of man-made environments
In this paper, we propose a learning-based approach to the task of automatically extracting
a" wireframe" representation for images of cluttered man-made environments. The wireframe …
a" wireframe" representation for images of cluttered man-made environments. The wireframe …
Human-aware object placement for visual environment reconstruction
Humans are in constant contact with the world as they move through it and interact with it.
This contact is a vital source of information for understanding 3D humans, 3D scenes, and …
This contact is a vital source of information for understanding 3D humans, 3D scenes, and …
3D room layout estimation from a single RGB image
3D layout is crucial for scene understanding and reconstruction, and very useful in
applications like real estate and furniture design. In this paper, we propose a fully automatic …
applications like real estate and furniture design. In this paper, we propose a fully automatic …