Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/CityDreamer

CityDreamer

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Scene GenerationonGoogleEarth
Camera Error· 2023-09-01
0.06
best: 0.057 (GaussianCity)
SOTA
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610
Scene GenerationonGoogleEarth
Depth Error· 2023-09-01
0.147
best: 0.136 (GaussianCity)
SOTA
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610
Scene GenerationonGoogleEarth
FID· 2023-09-01
97.38
best: 86.94 (GaussianCity)
SOTA
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610
Scene GenerationonGoogleEarth
KID· 2023-09-01
0.096
best: 0.358 (SGAM)
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610

Methodology4 results

16konGoogleEarth
Camera Error· 2023-09-01
0.06
best: 0.057 (GaussianCity)
SOTA
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610
16konGoogleEarth
Depth Error· 2023-09-01
0.147
best: 0.136 (GaussianCity)
SOTA
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610
16konGoogleEarth
FID· 2023-09-01
97.38
best: 86.94 (GaussianCity)
SOTA
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610
16konGoogleEarth
KID· 2023-09-01
0.096
best: 0.358 (SGAM)
CityDreamer: Compositional Generative Model of Unbounded 3D Cities arXiv:2309.00610