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The Training and Demo code for: Ash: Animatable gaussian splats for efficient and photoreal human rendering (CVPR 2024)

Home Page: https://vcai.mpi-inf.mpg.de/projects/ash/

Python 99.71% Shell 0.29%
computer-graphics computer-vision digital-human neural-rendering photorealistic-rendering realtime-rendering

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ash's Issues

Some videos in the training dataset are corrupted.

Excellent work!
I downloaded the dataset you provided a few days ago and found that in Subject0056, the videos numbered 029 and onwards in training/foregroundSegmentation cannot be opened properly. Is there an issue with the data?

About ASH GUI

If I want to get the GUI interface in your project description, what should I do?

Some hints on training with your own data

Since our approach requires only the motion textures as input conditions, it is possible, and intuitive, to adapt it for different kinds of drivable human templates.

Assume that you have a skinned/drivable template mesh with a UV paradigm.
Since we have provided the tools in the training dataloader, that render the info attached on the vertexes to the textures, it would be intuitive to adapt it for training on other drivable human models with the following ingredients:

  • The Canonical-pose vertex Position (referring to cached_ret_canonical_delta.pkl)
  • The Posed vertex Position (referring to cached_ret_posed_delta.pkl)
  • The Posed vertex Normal (referring to cached_temp_vert_normal.pkl)
  • The Rotation and translation quaternions for each vertex (referring to cached_fin_rotation_quad.pkl, cached_fin_translation_quad.pkl)
  • The Joint positions (referring to cached_joints.pkl)

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