Papers Unsupervised Keypoint Estimation
“Unsupervised Keypoint Estimation” 태그가 달린 논문 6편 · 필터 해제
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
Structured representations such as keypoints are widely used in pose transfer, conditional image generation, animation, and 3D reconstruction. However, their supervised learning requires expensive annotation for each tar…
Pose EstimationSelf-Supervised LearningUnsupervised Facial Landmark DetectionUnsupervised Facial Landmark Detection on MAFL+4GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation
Segmenting an image into its parts is a frequent preprocess for high-level vision tasks such as image editing. However, annotating masks for supervised training is expensive. Weakly-supervised and unsupervised methods ex…
Image AugmentationImage GenerationSegmentationUnsupervised Facial Landmark Detection+2Unsupervised Part Discovery from Contrastive Reconstruction
The goal of self-supervised visual representation learning is to learn strong, transferable image representations, with the majority of research focusing on object or scene level. On the other hand, representation learni…
Representation LearningUnsupervised Keypoint EstimationUnsupervised Part DiscoveryLatentKeypointGAN: Controlling Images via Latent Keypoints
Generative adversarial networks (GANs) have attained photo-realistic quality in image generation. However, how to best control the image content remains an open challenge. We introduce LatentKeypointGAN, a two-stage GAN …
Image GenerationImage Quality AssessmentKeypoint DetectionUnsupervised Facial Landmark Detection+2SCOPS: Self-Supervised Co-Part Segmentation
Parts provide a good intermediate representation of objects that is robust with respect to the camera, pose and appearance variations. Existing works on part segmentation is dominated by supervised approaches that rely o…
ObjectSegmentationUnsupervised Facial Landmark DetectionUnsupervised Human Pose Estimation+2Unsupervised Discovery of Object Landmarks as Structural Representations
Deep neural networks can model images with rich latent representations, but they cannot naturally conceptualize structures of object categories in a human-perceptible way. This paper addresses the problem of learning obj…
ObjectUnsupervised Facial Landmark DetectionUnsupervised Human Pose EstimationUnsupervised Keypoint Estimation