Viewpoint Estimation
17 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Viewpoint Estimation
PASCAL3D+
Latest papers with no code
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion
In this paper, we thus propose an unsupervised viewpoint representation learning scheme for 3D point cloud completion without explicit viewpoint estimation.
ViewNeRF: Unsupervised Viewpoint Estimation Using Category-Level Neural Radiance Fields
We introduce ViewNeRF, a Neural Radiance Field-based viewpoint estimation method that learns to predict category-level viewpoints directly from images during training.
ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation
Understanding the 3D world without supervision is currently a major challenge in computer vision as the annotations required to supervise deep networks for tasks in this domain are expensive to obtain on a large scale.
MagicPony: Learning Articulated 3D Animals in the Wild
We consider the problem of predicting the 3D shape, articulation, viewpoint, texture, and lighting of an articulated animal like a horse given a single test image as input.
Semi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation
There is a growing interest in developing computer vision methods that can learn from limited supervision.
On the Capability of CNNs to Generalize to Unseen Category-Viewpoint Combinations
We find that learning category and viewpoint in separate networks compared to a shared one leads to an increase in selectivity and invariance, as separate networks are not forced to preserve information about both category and viewpoint.
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
To overcome this limitation, we introduce a learnable module, cylindrical convolutional networks (CCNs), that exploit cylindrical representation of a convolutional kernel defined in the 3D space.
Single Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
Therefore, distributed and sparse codes co-exist in the network units to represent different face attributes.
Few-Shot Viewpoint Estimation
Through extensive experimentation on the ObjectNet3D and Pascal3D+ benchmark datasets, we demonstrate that our framework, which we call MetaView, significantly outperforms fine-tuning the state-of-the-art models with few examples, and that the specific architectural innovations of our method are crucial to achieving good performance.
Viewpoint Estimation---Insights & Model
This paper addresses the problem of viewpoint estimation of an object in a given image.
