DeepAI
Log In Sign Up

Im2Mesh GAN: Accurate 3D Hand Mesh Recovery from a Single RGB Image

01/27/2021
by   Akila Pemasiri, et al.
0

This work addresses hand mesh recovery from a single RGB image. In contrast to most of the existing approaches where the parametric hand models are employed as the prior, we show that the hand mesh can be learned directly from the input image. We propose a new type of GAN called Im2Mesh GAN to learn the mesh through end-to-end adversarial training. By interpreting the mesh as a graph, our model is able to capture the topological relationship among the mesh vertices. We also introduce a 3D surface descriptor into the GAN architecture to further capture the 3D features associated. We experiment two approaches where one can reap the benefits of coupled groundtruth data availability of images and the corresponding meshes, while the other combats the more challenging problem of mesh estimations without the corresponding groundtruth. Through extensive evaluations we demonstrate that the proposed method outperforms the state-of-the-art.

READ FULL TEXT
02/25/2019

End-to-end Hand Mesh Recovery from a Monocular RGB Image

In this paper, we present a HAnd Mesh Recovery (HAMR) framework to tackl...
11/25/2021

Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image

We develop a rotation equivariant model for generating 3D hand meshes fr...
03/04/2021

Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration

Recent years have witnessed significant progress in 3D hand mesh recover...
09/03/2021

Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction

3D hand-mesh reconstruction from RGB images facilitates many application...
04/05/2018

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

We propose an end-to-end deep learning architecture that produces a 3D s...
12/11/2019

DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration

Image alignment by mesh warps, such as meshflow, is a fundamental task w...
08/12/2020

BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks

3D hand estimation has been a long-standing research topic in computer v...