Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image! With Code Publicly Available!
With the ECCV conference coming soon, we have a ton of amazing papers coming out related to computer vision. Here’s an impressive one made by researchers at the Seoul National University about 3D human pose and mesh estimation.
From a single RGB Image!
Their goal was to propose a new technique for 3D Human Pose and Mesh Estimation from a single RGB image. They called it I2L-MeshNet. Where I2L stands for Image-to-Lixel. Just like a voxel, volume + pixel, is a quantized cell in three-dimensional space, they defined lixel, a line, and pixel, as a quantized cell in one-dimensional space. Their method outperforms previous methods and the code is publicly available! It is the first link in the description if you are interested to try it yourself!
The goal of 3D human pose and mesh estimation is to simultaneously recover 3D semantic human joint and 3D human mesh vertex locations. Which will give us the…
