GrabNet
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otaheri
GrabNet: A Generative model to generate realistic 3D hands grasping unseen objects (ECCV2020)
Hi otaheri, It's a really nice work on hand grasp generation! I'm wondering if you would like to share your method of how you generate the vertex contact likelihood from...
Hi @otaheri , thanks for the great work! I'm using the GrabNet and GRAB dataset. I'm confused about the relationship of `rhand_betas` and `rhand v-templates`? Are they mutually exclusive? And...
Hi, thanks for your amazing work. I wanted to ask how you have gotten the files 'verts_per_edge.npy' and 'rhand_weight.npy'. How can we get the weights for whole body? Best, Anindita
Hi, Very nice work! I wanted to ask how you created the bps.npz file that we download? Also, you have used the rhand_weight.npy file. Did you get it by pre-processing...
where can I download the" chamfer_distance"? Does the libary need use the torch.utils.extension.load for C++ compiling?
Hi, great work! I was wondering if it was possibile to generate two hand grasps? I mean render scenes where both hand are always present, maybe one of the two...
Hello, using the Colab example from this project's README. On line: `!source scripts/prepare_data.sh` I get the error: ``` /usr/local/lib/python3.10/dist-packages/gdown/parse_url.py:44: UserWarning: You specified a Google Drive link that is not the...
When I run the command `python grabnet/tests/test.py ...`, I find that ground truth grasps (in blue) are unrealistic. Is it normal behaviour? Subject 10, and object is a mug.
Hi @otaheri, Firstly, I'd like to commend the exceptional work by Michel Black's group, specifically this one; I'm genuinely impressed by its utility and innovation. I'm currently focused on generating...
Context: I'm trying the second example to generate grasps for test data and compare to ground truth. GrabNet Dataset has two zip files for Information Tables, Objects and Subjects, and...
