Papers Viewpoint Estimation
“Viewpoint Estimation” 태그가 달린 논문 41편 · 필터 해제
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. Most of the existing view rendering approaches only focus on indoor or synthet…
Viewpoint EstimationVAPCNet: Viewpoint-Aware 3D Point Cloud Completion
Most existing learning-based 3D point cloud completion methods ignore the fact that the completion process is highly coupled with the viewpoint of a partial scan. However, the various viewpoints of incompletely scann…
Point Cloud CompletionRepresentation LearningViewpoint EstimationViewNeRF: 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. While NeRF is usually trained with ground-truth came…
NeRFViewpoint EstimationViewNet: 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. I…
Image ReconstructionSelf-Supervised LearningViewpoint EstimationMagicPony: 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. We present a new method, dubbed MagicPony, that…
Viewpoint EstimationPoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
Motivated by the need for estimating the 3D pose of arbitrary objects, we consider the challenging problem of class-agnostic object viewpoint estimation from images only, without CAD model knowledge. The idea is to lever…
Contrastive LearningPose EstimationViewpoint EstimationSemi-supervised Viewpoint Estimation with Geometry-aware Conditional Generation
There is a growing interest in developing computer vision methods that can learn from limited supervision. In this paper, we consider the problem of learning to predict camera viewpoints, where obtaining ground-truth ann…
Viewpoint EstimationOn the Capability of CNNs to Generalize to Unseen Category-Viewpoint Combinations
Object recognition and viewpoint estimation lie at the heart of visual understanding. Recent works suggest that convolutional neural networks (CNNs) fail to generalize to category-viewpoint combinations not seen during t…
Object RecognitionViewpoint EstimationGround-truth or DAER: Selective Re-query of Secondary Information
Many vision tasks use secondary information at inference time -- a seed -- to assist a computer vision model in solving a problem. For example, an initial bounding box is needed to initialize visual object tracking. To d…
Object TrackingScene ClassificationSemantic SegmentationVideo Object Segmentation+3Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Detecting objects and estimating their viewpoints in images are key tasks of 3D scene understanding. Recent approaches have achieved excellent results on very large benchmarks for object detection and viewpoint estimatio…
Few-Shot Object DetectionMeta-LearningObjectobject-detection+3When and how CNNs generalize to out-of-distribution category-viewpoint combinations
Object recognition and viewpoint estimation lie at the heart of visual understanding. Recent works suggest that convolutional neural networks (CNNs) fail to generalize to out-of-distribution (OOD) category-viewpoint comb…
DiversityObject RecognitionViewpoint EstimationNovel Object Viewpoint Estimation through Reconstruction Alignment
The goal of this paper is to estimate the viewpoint for a novel object. Standard viewpoint estimation approaches generally fail on this task due to their reliance on a 3D model for alignment or large amounts of class-spe…
3D geometryImage-to-Image TranslationObjectViewpoint EstimationSelf-Supervised Viewpoint Learning From Image Collections
Training deep neural networks to estimate the viewpoint of objects requires large labeled training datasets. However, manually labeling viewpoints is notoriously hard, error-prone, and time-consuming. On the other hand, …
ObjectViewpoint EstimationCylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation
Existing techniques to encode spatial invariance within deep convolutional neural networks only model 2D transformation fields. This does not account for the fact that objects in a 2D space are a projection of 3D ones, a…
Objectobject-detectionObject DetectionViewpoint EstimationSingle Unit Status in Deep Convolutional Neural Network Codes for Face Identification: Sparseness Redefined
Deep convolutional neural networks (DCNNs) trained for face identification develop representations that generalize over variable images, while retaining subject (e.g., gender) and image (e.g., viewpoint) information. Ide…
Face IdentificationGender ClassificationViewpoint EstimationSelf-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. During training, our network gets the learning signal from a silhouette of an object in the inpu…
3D Object Reconstruction From A Single Image3D Reconstruction3D Shape GenerationRobotic Grasping+1Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Most deep pose estimation methods need to be trained for specific object instances or categories. In this work we propose a completely generic deep pose estimation approach, which does not require the network to have bee…
ObjectPose EstimationViewpoint EstimationFew-Shot Viewpoint Estimation
Viewpoint estimation for known categories of objects has been improved significantly thanks to deep networks and large datasets, but generalization to unknown categories is still very challenging. With an aim towards imp…
Meta-LearningViewpoint EstimationSpherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
Many computer vision challenges require continuous outputs, but tend to be solved by discrete classification. The reason is classification's natural containment within a probability $n$-simplex, as defined by the popular…
3D Rotation EstimationregressionSurface Normal EstimationSurface Normals Estimation+1Object Pose Estimation from Monocular Image using Multi-View Keypoint Correspondence
Understanding the geometry and pose of objects in 2D images is a fundamental necessity for a wide range of real world applications. Driven by deep neural networks, recent methods have brought significant improvements to …
Pose EstimationViewpoint Estimation