18 datasets found

The Microsoft COCO Keypoints dataset is a large-scale benchmark for 2D human pose estimation and tracking in images.

PandaNet is a single-shot approach for multi-person 3D pose estimation that can handle images with a large number of people, strong occlusions, and varying sizes.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A dataset for human pose estimation that consists of images with annotated body parts.

A graphical model for human pose estimation that exploits the fact that local image measurements can be used to detect parts and predict spatial relationships between them.

Human pose estimation refers to the task of recognizing postures by localizing body keypoints (head, shoulders, elbows, wrists, knees, ankles, etc.) from images.

MuPoTS-3D is a representative dataset for monocular 3DMPPE, composed of 20 few-second-long sequences with 2–3 people interacting with each other.

The FlyingThings3D dataset is a benchmark for stereo matching, consisting of a large collection of images and corresponding disparity maps.

DiffPose: A conditional diffusion model for multi-hypothesis human pose estimation from a single image.

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be...

The COCO keypoint benchmark is a widely used dataset for human pose estimation.

Multi-person pose estimation is a fundamental yet challenging task in computer vision. Both rich context information and spatial information are required to precisely locate the...

Multi-person pose estimation framework using dynamic instance-aware convolutions

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...