I2L-MeshNet_RELEASE
I2L-MeshNet_RELEASE copied to clipboard
mks0601
Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
Thank you for sharing your great work. I have been working on making my own dataset with 3D joints and SMPL parameters. The data provided by you [link](https://drive.google.com/drive/folders/1s-yywb4zF_OOLMmw1rsYh_VZFilgSrrD?usp=sharing) is impressive....
Hello! I am very interested in your work. I run the demo.py successfully and I had the question about the inputs after read your code in demo.py. The input img...
Hello! The distance from the mesh is estimated by RootNet, but how to get the rotation of the camera used in the visualization of the mesh? Looking forward to getting...
Thanks a lot for sharing the Simplify-X fits for H36M. Did you use 3d loss when fitting? I found that his side view is slanted, indicating that the depth is...
Hi, thanks for sharing such great work. I'm new to computer vision, so getting a feel for it is challenging. I was wondering how to include joints' coordinates into the...
Hi @mks0601, Thanks for your great work. In your paper, one of the evaluation datasets is SURREAL, but I didn't found the code for this dataset. Could you please release...
Hello, I search to find for each joint their orientation in the word. If i understand well the I obtain the relativ orientation for each joint from this line in...
