# Generative Modeling Evaluation on ImageNet 256x256 (test)

Source: [Generative Modeling Evaluation on ImageNet 256x256 (test)](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:47:42.215Z

Evaluation of generative models on the test split of the ImageNet dataset rendered at 256x256 resolution, measured using KGEL-based metrics.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Generative Modeling Evaluation |
| Dataset (including any stated split) | ImageNet 256x256 (test) |
| Metric | KGEL ET Score |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 10 of 10 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [KGEL ET Score](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test.md?metric=KGEL%20ET%20Score>): Higher is better; unit: SCALAR.

- [KGEL EL Score](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test.md?metric=KGEL%20EL%20Score>): Higher is better; unit: SCALAR.

- [KGEL2 EL (Model)](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test.md?metric=KGEL2%20EL%20(Model)>): Higher is better; unit: SCALAR.

- [KGEL2 EL (Test)](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test.md?metric=KGEL2%20EL%20(Test)>): Higher is better; unit: SCALAR.

- [KGEL2 ET (Model)](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test.md?metric=KGEL2%20ET%20(Model)>): Higher is better; unit: SCALAR.

- [KGEL2 ET (Test)](<https://www.sota2.com/research/sota/generative-modeling-evaluation-on-imagenet-256x256-test.md?metric=KGEL2%20ET%20(Test)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | KGEL ET Score | Result date | Report paper |
| --- | --- | --- | --- |
| VQ-VAE2 | 40.55 | Not recorded | 68fa70391e209131cea49af2 |
| VQGAN\* | 9.034 | Not recorded | 68fa70391e209131cea49af2 |
| BIGGAN-DEEP | 3.017 | Not recorded | 68fa70391e209131cea49af2 |
| ADM | 2.994 | Not recorded | 68fa70391e209131cea49af2 |
| CDM | 2.467 | Not recorded | 68fa70391e209131cea49af2 |
| ADM-G (1.0) | 2.289 | Not recorded | 68fa70391e209131cea49af2 |
| VQGAN\*\* | 2.219 | Not recorded | 68fa70391e209131cea49af2 |
| BIGGAN-DEEP | 2.075 | Not recorded | 68fa70391e209131cea49af2 |
| TRAINING SET | 1.164 | Not recorded | 68fa70391e209131cea49af2 |
| THEOR. OPT | 1 | Not recorded | 68fa70391e209131cea49af2 |

### VQ-VAE2

KGEL ET Score: 40.55. Result ID: 6991247c3a6c31484905ffb8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65d61e209131cea0c943.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### VQGAN\*

KGEL ET Score: 9.034. Result ID: 6991247c3a6c31484905ffb9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a371e209131cea26a4d.md>)

[Implementation](<https://git.io/JnyvK>)

Recorded evaluation configuration: {"VQGAN hyperparameters (k, t, p, a)":"k = 600, t = 1.0, p = 0.92"}. This record does not assert independent reproduction.

### BIGGAN-DEEP

KGEL ET Score: 3.017. Result ID: 6991247c3a6c31484905ffb7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65661e209131cea0a090.md>)

[Implementation](<https://tfhub.dev/s?q=biggan>)

Recorded evaluation configuration: {"Truncation parameter (tau)":0.6}. This record does not assert independent reproduction.

### ADM

KGEL ET Score: 2.994. Result ID: 6991247c3a6c31484905ffbb.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0e1e209131cea25dba.md>)

[Implementation](<https://github.com/openai/guided-diffusion>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### CDM

KGEL ET Score: 2.467. Result ID: 6991247c3a6c31484905ffbd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6b781e209131cea2e5b5.md>)

[Implementation](<https://cascaded-diffusion.github.io/>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### ADM-G (1.0)

KGEL ET Score: 2.289. Result ID: 6991247c3a6c31484905ffbc.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a0e1e209131cea25dba.md>)

[Implementation](<https://github.com/openai/guided-diffusion>)

Recorded evaluation configuration: {"Classifier Guidance (G)":1}. This record does not assert independent reproduction.

### VQGAN\*\*

KGEL ET Score: 2.219. Result ID: 6991247c3a6c31484905ffba.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a371e209131cea26a4d.md>)

[Implementation](<https://git.io/JnyvK>)

Recorded evaluation configuration: {"VQGAN hyperparameters (k, t, p, a)":"k = 600, a = 0.05, p = 1.0"}. This record does not assert independent reproduction.

### BIGGAN-DEEP

KGEL ET Score: 2.075. Result ID: 6991247c3a6c31484905ffb6.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65661e209131cea0a090.md>)

[Implementation](<https://tfhub.dev/s?q=biggan>)

Recorded evaluation configuration: {"Truncation parameter (tau)":1}. This record does not assert independent reproduction.

### TRAINING SET

KGEL ET Score: 1.164. Result ID: 6991247c3a6c31484905ffb5.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### THEOR. OPT

KGEL ET Score: 1. Result ID: 6991247c3a6c31484905ffb4.

[Reporting paper](<https://www.sota2.com/research/paper/68fa70391e209131cea49af2.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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