Viewpoint Estimation
17 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Viewpoint Estimation
PASCAL3D+
Latest papers
See360: Novel Panoramic View Interpolation
We present See360, which is a versatile and efficient framework for 360 panoramic view interpolation using latent space viewpoint estimation.
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
We experimented on Pascal3D+, ObjectNet3D and Pix3D in a cross-dataset fashion, with both seen and unseen classes.
Ground-truth or DAER: Selective Re-query of Secondary Information
lemmersj/ground-truth-or-daer
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ICCV 2021
Many vision tasks use secondary information at inference time -- a seed -- to assist a computer vision model in solving a problem.
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
YoungXIAO13/FewShotDetection
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ECCV 2020
In this paper, we tackle the problems of few-shot object detection and few-shot viewpoint estimation.
When and how CNNs generalize to out-of-distribution category-viewpoint combinations
Spandan-Madan/generalization_biased_category_pose
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In this paper, we investigate when and how such OOD generalization may be possible by evaluating CNNs trained to classify both object category and 3D viewpoint on OOD combinations, and identifying the neural mechanisms that facilitate such OOD generalization.
Novel Object Viewpoint Estimation through Reconstruction Alignment
mbanani/novelviewpoints
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CVPR 2020
Our key insight is that although we do not have an explicit 3D model or a predefined canonical pose, we can still learn to estimate the object's shape in the viewer's frame and then use an image to provide our reference model or canonical pose.
Self-Supervised Viewpoint Learning From Image Collections
NVlabs/SSV
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CVPR 2020
Training deep neural networks to estimate the viewpoint of objects requires large labeled training datasets.
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics
We present a convolutional neural network for joint 3D shape prediction and viewpoint estimation from a single input image.
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Most deep pose estimation methods need to be trained for specific object instances or categories.
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
leoshine/Spherical_Regression
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CVPR 2019
We observe many continuous output problems in computer vision are naturally contained in closed geometrical manifolds, like the Euler angles in viewpoint estimation or the normals in surface normal estimation.
