Gaspard ZOSS
18Patents
1h-index
17Co-inventors
40Inventor score
Filing activity: Jul 12, 2019 → Jan 27, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11151767B1 | Techniques for removing and synthesizing secondary dynamics in facial performance capture | Physics | 1 | Active |
| US12361634B2 | Techniques for improved lighting models for appearance capture | Electricity | 0 | Active |
| US12198225B2 | Transformer-based shape models | Physics | 0 | Active |
| US12236517B2 | Techniques for multi-view neural object modeling | Physics | 0 | Active |
| US12361663B2 | Dynamic facial hair capture of a subject | Physics | 0 | Active |
| US11587276B2 | Data-driven extraction and composition of secondary dynamics in facial performance capture | Physics | 0 | Active |
| US12243140B2 | Synthesizing sequences of images for movement-based performance | Physics | 0 | Active |
| US11645813B2 | Techniques for sculpting digital faces based on anatomical modeling | Physics | 0 | Active |
| US12223577B2 | Data-driven physics-based models with implicit actuations | Physics | 0 | Active |
| US12322039B2 | Techniques for improved lighting models for appearance capture | Electricity | 0 | Active |
| US12307616B2 | Techniques for re-aging faces in images and video frames | Physics | 0 | Active |
| US11393107B2 | Jaw tracking without markers for facial performance capture | Physics | 0 | Active |
| US12205213B2 | Synthesizing sequences of images for movement-based performance | General | 0 | Revoked |
| US12340440B2 | Adaptive convolutions in neural networks | Physics | 0 | Active |
| US11875441B2 | Data-driven extraction and composition of secondary dynamics in facial performance capture | Physics | 0 | Active |
| US12367649B2 | Generating a facial-hair-free mesh of a subject | Physics | 0 | Active |
| US12118734B2 | Jaw tracking without markers for facial performance capture | Physics | 0 | Active |
| US12243349B2 | Face reconstruction using a mesh convolution network | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.