- Danhang Tang
- Mingsong Dou
- Peter Lincoln
- Philip Davidson
- Kaiwen Guo
- Jonathan Taylor
- Sean Fanello
- Cem Keskin
- Adarsh Kowdle
- Sofien Bouaziz
- Shahram Izadi
- Andrea Tagliasacchi
ACM Transaction of Graphics (2018)
We introduce a realtime compression architecture for 4D performance capture that is two orders of magnitude faster than current state-of-the-art techniques, yet achieves comparable visual quality and bitrate. We note how much of the algorithmic complexity in traditional 4D compression arises from the necessity to encode geometry in a explicit model (i.e. a triangle mesh). In contrast, we propose an encoder that leverages implicit model to represent the observed geometry and its changes through time
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