14 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 4 cited
Point Cloud Generation with Continuous Conditioning
Larissa T. Triess, Andre Bühler, David Peter +2
Generative models can be used to synthesize 3D objects of high quality and diversity. However, there is typically no control over the properties of the generated object.This paper…
cs.CV2021★ 14 cited
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler, Andre Bühler, Felix Wiewel +2
An unresolved problem in Deep Learning is the ability of neural networks to cope with domain shifts during test-time, imposed by commonly fixing network parameters after training.…