A review of 3D human pose estimation algorithms for markerless motion capture
Human pose estimation is a very active research field, stimulated by its important
applications in robotics, entertainment or health and sports sciences, among others …
applications in robotics, entertainment or health and sports sciences, among others …
A review of body measurement using 3D scanning
The understanding of body measurements and body shapes in and between populations is
important and has many applications in medicine, surveying, the fashion industry, fitness …
important and has many applications in medicine, surveying, the fashion industry, fitness …
Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images
We introduce MVSplat, an efficient model that, given sparse multi-view images as input,
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …
predicts clean feed-forward 3D Gaussians. To accurately localize the Gaussian centers, we …
pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
We introduce pixelSplat a feed-forward model that learns to reconstruct 3D radiance fields
parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time …
parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time …
Mixste: Seq2seq mixed spatio-temporal encoder for 3d human pose estimation in video
Recent transformer-based solutions have been introduced to estimate 3D human pose from
2D keypoint sequence by considering body joints among all frames globally to learn spatio …
2D keypoint sequence by considering body joints among all frames globally to learn spatio …
Grounding image matching in 3d with mast3r
Image Matching is a core component of all best-performing algorithms and pipelines in 3D
vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to …
vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to …
PARE: Part attention regressor for 3D human body estimation
Despite significant progress, we show that state of the art 3D human pose and shape
estimation methods remain sensitive to partial occlusion and can produce dramatically …
estimation methods remain sensitive to partial occlusion and can produce dramatically …
End-to-end human pose and mesh reconstruction with transformers
We present a new method, called MEsh TRansfOrmer (METRO), to reconstruct 3D human
pose and mesh vertices from a single image. Our method uses a transformer encoder to …
pose and mesh vertices from a single image. Our method uses a transformer encoder to …
OpenCap: Human movement dynamics from smartphone videos
Measures of human movement dynamics can predict outcomes like injury risk or
musculoskeletal disease progression. However, these measures are rarely quantified in …
musculoskeletal disease progression. However, these measures are rarely quantified in …
Tokenpose: Learning keypoint tokens for human pose estimation
Human pose estimation deeply relies on visual clues and anatomical constraints between
parts to locate keypoints. Most existing CNN-based methods do well in visual …
parts to locate keypoints. Most existing CNN-based methods do well in visual …