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3D Super-Resolution research benchmarks · SOTA2 Research

3D Super-Resolution

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Upper Bound (3DGS)

33.37PSNR

30

Jul 3, 2026

CNN with Intermediate Loss

0.893SSIM

10

Feb 26, 2026

Mip-NeRF360 (test)

27.23PSNR

8

Feb 26, 2026

Tanks&Temples (test)

23.52PSNR

7

Feb 26, 2026

Deep Blending (test)

29.73PSNR

7

Feb 26, 2026

3DGS-SR 1024 x 1024

36.57PSNR

6

Jul 3, 2026

Mip-NeRF 360 (test)

76.3SSIM

6

May 26, 2026

Tanks & Temples

78.2SSIM

6

May 26, 2026

CH 4x upscaling (test)

CNN with Intermediate Loss

78.19SSIM

5

Feb 26, 2026

CH 2x upscaling (test)

CNN with Intermediate Loss

0.893SSIM

5

Feb 26, 2026

NAMIC T2-weighted (test)

CNN with Intermediate Loss

0.984SSIM

5

Feb 26, 2026

NAMIC T1-weighted (test)

CNN with Intermediate Loss

96.87SSIM

4

Feb 26, 2026

MipNeRF-360 bicycle and stump scenes

25.64PSNR

3

Feb 26, 2026

Popular datasets

CH Tanks&Temples NAMIC Mip-NeRF360 Deep Blending

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