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 …
Econ: Explicit clothed humans optimized via normal integration
The combination of deep learning, artist-curated scans, and Implicit Functions (IF), is
enabling the creation of detailed, clothed, 3D humans from images. However, existing …
enabling the creation of detailed, clothed, 3D humans from images. However, existing …
Icon: Implicit clothed humans obtained from normals
Current methods for learning realistic and animatable 3D clothed avatars need either posed
3D scans or 2D images with carefully controlled user poses. In contrast, our goal is to learn …
3D scans or 2D images with carefully controlled user poses. In contrast, our goal is to learn …
Physical inertial poser (pip): Physics-aware real-time human motion tracking from sparse inertial sensors
Motion capture from sparse inertial sensors has shown great potential compared to image-
based approaches since occlusions do not lead to a reduced tracking quality and the …
based approaches since occlusions do not lead to a reduced tracking quality and the …
Pymaf: 3d human pose and shape regression with pyramidal mesh alignment feedback loop
Regression-based methods have recently shown promising results in reconstructing human
meshes from monocular images. By directly mapping raw pixels to model parameters, these …
meshes from monocular images. By directly mapping raw pixels to model parameters, these …
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 …
Tada! text to animatable digital avatars
We introduce TADA, a simple-yet-effective approach that takes textual descriptions and
produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be …
produces expressive 3D avatars with high-quality geometry and lifelike textures, that can be …
TRACE: 5D temporal regression of avatars with dynamic cameras in 3D environments
Although the estimation of 3D human pose and shape (HPS) is rapidly progressing, current
methods still cannot reliably estimate moving humans in global coordinates, which is critical …
methods still cannot reliably estimate moving humans in global coordinates, which is critical …
Gavatar: Animatable 3d gaussian avatars with implicit mesh learning
Y Yuan, X Li, Y Huang, S De Mello… - Proceedings of the …, 2024 - openaccess.thecvf.com
Gaussian splatting has emerged as a powerful 3D representation that harnesses the
advantages of both explicit (mesh) and implicit (NeRF) 3D representations. In this paper we …
advantages of both explicit (mesh) and implicit (NeRF) 3D representations. In this paper we …
Faceverse: a fine-grained and detail-controllable 3d face morphable model from a hybrid dataset
We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …