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/GSN

GSN

Reported on 23 benchmarks across 5 tasks · 3 papers · 23 SOTA

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

Medical8 results

Image GenerationonARKitScenes
FID· 2022-07-27
79.54
best: 37.35 (GAUDI)
SOTA
GAUDI: A Neural Architect for Immersive 3D Scene Generation arXiv:2207.13751
Image GenerationonARKitScenes
FID (SwAV)· 2022-07-27
10.21
best: 4.14 (GAUDI)
SOTA
GAUDI: A Neural Architect for Immersive 3D Scene Generation arXiv:2207.13751
Image GenerationonVLN-CE
FID· 2022-07-27
43.32
best: 18.52 (GAUDI)
SOTA
GAUDI: A Neural Architect for Immersive 3D Scene Generation arXiv:2207.13751
Image GenerationonVLN-CE
FID (SwAV)· 2022-07-27
6.19
best: 3.63 (GAUDI)
SOTA
GAUDI: A Neural Architect for Immersive 3D Scene Generation arXiv:2207.13751
Image GenerationonVizDoom
FID· 2021-04-01
37.21
best: 33.7 (GAUDI)
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Image GenerationonVizDoom
FID (SwAV)· 2021-04-01
4.56
best: 3.24 (GAUDI)
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Image GenerationonReplica
FID· 2021-04-01
41.75
best: 18.75 (GAUDI)
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Image GenerationonReplica
FID (SwAV)· 2021-04-01
4.14
best: 1.76 (GAUDI)
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670

Computer Vision6 results

Scene GenerationonReplica
FID· 2021-04-01
41.75
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Scene GenerationonReplica
SwAV-FID· 2021-04-01
4.14
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Scene GenerationonAVD
FID· 2021-04-01
51.11
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Scene GenerationonAVD
SwAV-FID· 2021-04-01
6.59
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Scene GenerationonVizDoom
FID· 2021-04-01
37.21
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
Scene GenerationonVizDoom
SwAV-FID· 2021-04-01
4.56
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670

Methodology6 results

16konReplica
FID· 2021-04-01
41.75
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
16konReplica
SwAV-FID· 2021-04-01
4.14
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
16konAVD
FID· 2021-04-01
51.11
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
16konAVD
SwAV-FID· 2021-04-01
6.59
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
16konVizDoom
FID· 2021-04-01
37.21
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670
16konVizDoom
SwAV-FID· 2021-04-01
4.56
SOTA
Unconstrained Scene Generation with Locally Conditioned Radiance Fields arXiv:2104.00670

Graphs3 results

Graph RegressiononZINC-500k
MAE· 2020-06-16
0.101
best: 0.051 (ESA + rings + NodeRWSE + EdgeRWSE)
SOTA
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting arXiv:2006.09252
Graph RegressiononZINC 100k
MAE· 2020-06-16
0.115
best: 0.094 (CIN-small)
SOTA
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting arXiv:2006.09252
Graph Property Predictiononogbg-molhiv
Number of params· 2020-06-16
3338701
best: 47183040 (Graphormer)
SOTA
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting arXiv:2006.09252