GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

Publication

2021

Preprint

10.1109/cvpr46437.2021.01129

Full citation and authors

Michael Niemeyer; Andreas Geiger

Michael Niemeyer, Andreas Geiger (2021). GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields. https://doi.org/10.1109/cvpr46437.2021.01129

Related by topic (4)

Topic matches, not cited references.

GIRAFFE: Representing Scenes as Compositional Generative Neural Feature\n Fields
arXiv (Cornell University), 2020
Behaviour & cognition, Roads, fences & infrastructure
GIRAFFE HD: A High-Resolution 3D-aware Generative Model
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Roads, fences & infrastructure
Supplemental Material for Object Permanence in Giraffa camelopardalis: First Steps in Giraffes’ Physical Cognition
Journal of comparative psychology, 2018
Behaviour & cognition
Applying computer‐aided photo‐identification to messy datasets: a case study of Thornicroft's giraffe (Giraffa camelopardalis thornicrofti)
African Journal of Ecology, 2014
Behaviour & cognition

Publication

GIRAFFE: Representing Scenes as Compositional Generative Neural Feature\n Fields

GIRAFFE HD: A High-Resolution 3D-aware Generative Model

Supplemental Material for Object Permanence in Giraffa camelopardalis: First Steps in Giraffes’ Physical Cognition

Applying computer‐aided photo‐identification to messy datasets: a case study of Thornicroft's giraffe (Giraffa camelopardalis thornicrofti)