# Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos

Supplementary Materials ⋅ CVPR 2023

Please see our project webpage https://augmentedperception.github.io/monoavatar/ for more results.

### Results of driving the avatars by an unseen test video sequence of the subject.

Labels - Left: Input Driving Video, Center: Rendered Avatar, Right: Rendered Depth

Our learned avatar produces high-quality renderings and geometries, and can handle accessories like glasses:
Our method generates reasonable results for challenging long hairs. For more discussions, please refer to the limitation section at the end of the page.

### More Results of Multi-view Rendering

Labels - From left to right: (1) Input Driving Video, (2) -15 degrees, (3) 0 degree, (4) +15 degrees

Our learned avatar captures personalized characteristics such as winkles:
Our method can also handle fluffy hairs and reproduce personalized complex expressions.

### Results driven under different capturing conditions

Labels - Left: Input Driving Video, Center: Rendered Avatar, Right: Rendered Depth

After training, the learned avatar model can be driven by the same subject under different capturing conditions, such as differences in hair styles, illumination, and glasses.

### Limitations when rendering long hairs

Labels - Left: Input Driving Video, Center: Rendered Avatar, Right: Rendered Depth

Our method has difficulties on handling long hairs with complex deformations, which cannot be captured by the 3DMM.