Self-supervised single-view 3d reconstruction via semantic consistency
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
Self-supervised Single-View 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello, V Jampani… - … on Computer Vision, 2020 - dl.acm.org
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
[PDF][PDF] Self-supervised Single-view 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello, V Jampani, MH Yang… - ecva.net
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello, V Jampani… - arXiv preprint arXiv …, 2020 - arxiv.org
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
[PDF][PDF] Self-supervised Single-view 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello, V Jampani, MH Yang… - research.nvidia.com
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
[PDF][PDF] Self-supervised Single-view 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello, V Jampani, MH Yang… - jankautz.com
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello, V Jampani… - arXiv e …, 2020 - ui.adsabs.harvard.edu
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …
Self-supervised Single-View 3D Reconstruction via Semantic Consistency
X Li, S Liu, K Kim, S De Mello… - … Vision, ECCV 2020, 2020 - yonsei.elsevierpure.com
We learn a self-supervised, single-view 3D reconstruction model that predicts the 3D mesh
shape, texture and camera pose of a target object with a collection of 2D images and …
shape, texture and camera pose of a target object with a collection of 2D images and …