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[ECCV 2022] SAGA: Stochastic Whole-Body Grasping with Contact

Home Page: https://jiahaoplus.github.io/SAGA/saga.html

License: MIT License

Python 100.00%
generative-model grasping hand-object-interaction hand-pose human-motion human-object-interaction human-pose motion-generation motion-synthesis vae

saga's People

Contributors

jiahaoplus avatar wuyan01 avatar

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Forkers

juntu-xd wilboludriver bruinxiong

saga's Issues

A possible bug in fittingop

SAGA/WholeGraspPose/models/fittingop.py

Lines 183 to 184 in ecaed33

o2h_marker, h2o_signed_marker, o2h_idx_marker, _ = point2point_signed(body_markers_rec, verts_object.float(), normal_object.float())
o2h_signed, h2o_signed, o2h_idx, _ = point2point_signed(rhand_verts_rec, verts_object.float(), rh_normals, normal_object.float())

In line 183, it seems that the third positional argument should be the normals of markers.

subject shape not fixed

hi there, thank you for the interesting work. I have a question related to stage 1 the grasppose generation. Noted that given different height of the objects, the inference of huamn boy shape is different, is there a way to keep the same person shape and only infer different pose?

thanks.

Training script for separate localmotion infill pretraining.

Hi @JiahaoPlus, @wuyan01

Currently, train_graspmotion.py has code for combined training of TrajFill and LocalMotionFill models.
Can you please provide the script for training the LocalMotionFill model separately on AMASS?

While training the LocalMotionFill model separately on AMASS, the trajectory input will be the ground truth trajectory of the motion, right?

Thanks!

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