Recovering 3d human mesh from monocular images: A survey
Estimating human pose and shape from monocular images is a long-standing problem in
computer vision. Since the release of statistical body models, 3D human mesh recovery has …
computer vision. Since the release of statistical body models, 3D human mesh recovery has …
State of the Art in Dense Monocular Non‐Rigid 3D Reconstruction
Abstract 3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D
image observations is a long‐standing and actively researched area of computer vision and …
image observations is a long‐standing and actively researched area of computer vision and …
Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time
Accurate whole-body multi-person pose estimation and tracking is an important yet
challenging topic in computer vision. To capture the subtle actions of humans for complex …
challenging topic in computer vision. To capture the subtle actions of humans for complex …
Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
Effective whole-body pose estimation with two-stages distillation
Whole-body pose estimation localizes the human body, hand, face, and foot keypoints in an
image. This task is challenging due to multi-scale body parts, fine-grained localization for …
image. This task is challenging due to multi-scale body parts, fine-grained localization for …
One-stage 3d whole-body mesh recovery with component aware transformer
Whole-body mesh recovery aims to estimate the 3D human body, face, and hands
parameters from a single image. It is challenging to perform this task with a single network …
parameters from a single image. It is challenging to perform this task with a single network …
Pymaf-x: Towards well-aligned full-body model regression from monocular images
We present PyMAF-X, a regression-based approach to recovering a parametric full-body
model from a single image. This task is very challenging since minor parametric deviation …
model from a single image. This task is very challenging since minor parametric deviation …
Avatarrex: Real-time expressive full-body avatars
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …
data. The learnt avatar not only provides expressive control of the body, hands and the face …
DexYCB: A benchmark for capturing hand grasping of objects
We introduce DexYCB, a new dataset for capturing hand grasping of objects. We first
compare DexYCB with a related one through cross-dataset evaluation. We then present a …
compare DexYCB with a related one through cross-dataset evaluation. We then present a …
ARCTIC: A dataset for dexterous bimanual hand-object manipulation
Humans intuitively understand that inanimate objects do not move by themselves, but that
state changes are typically caused by human manipulation (eg, the opening of a book). This …
state changes are typically caused by human manipulation (eg, the opening of a book). This …