# Text-Conditioned 3D Object Generation on ShapeNet cars (test)

Source: [Text-Conditioned 3D Object Generation on ShapeNet cars (test)](<https://www.sota2.com/research/sota/text-conditioned-3d-object-generation-on-shapenet-cars-test>)

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

Data updated: 2026-02-26T05:38:29.783Z

Evaluation of text-to-3D generation models using the test split of the ShapeNet Car category, measured using metrics such as CLIP Score.

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 | Text-Conditioned 3D Object Generation |
| Dataset (including any stated split) | ShapeNet cars (test) |
| Metric | CLIP Score |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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

- [CLIP Score](<https://www.sota2.com/research/sota/text-conditioned-3d-object-generation-on-shapenet-cars-test.md?metric=CLIP%20Score>): Higher is better; unit: SCALAR.

## Recorded results

| Method | CLIP Score | Result date | Report paper |
| --- | --- | --- | --- |
| UVGS | 32.62 | Not recorded | 68fa77931e209131cea74147 |
| LGM | 30.74 | Not recorded | 68fa77931e209131cea74147 |
| Shap-E | 30.53 | Not recorded | 68fa77931e209131cea74147 |
| GaussianCube | 30.34 | Not recorded | 68fa77931e209131cea74147 |
| DreamGaussian | 28.51 | Not recorded | 68fa77931e209131cea74147 |

### UVGS

CLIP Score: 32.62. Result ID: 6995448a3badfaffe6318c01.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74147.md>)

[Implementation](<https://aashishrai3799.github.io/uvgs>)

Recorded evaluation configuration: {"Generated samples":"10K"}. This record does not assert independent reproduction.

### LGM

CLIP Score: 30.74. Result ID: 6995448a3badfaffe6318bff.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72291e209131cea54dd3.md>)

Recorded evaluation configuration: {"Generated samples":"10K"}. This record does not assert independent reproduction.

### Shap-E

CLIP Score: 30.53. Result ID: 6995448a3badfaffe6318bfe.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71731e209131cea5151b.md>)

[Implementation](<https://silent-chen.github.io/Shap-Editor>)

Recorded evaluation configuration: {"Generated samples":"10K"}. This record does not assert independent reproduction.

### GaussianCube

CLIP Score: 30.34. Result ID: 6995448a3badfaffe6318c00.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa757a1e209131cea683c7.md>)

[Implementation](<https://gaussiancube.github.io/>)

Recorded evaluation configuration: {"Generated samples":"10K"}. This record does not assert independent reproduction.

### DreamGaussian

CLIP Score: 28.51. Result ID: 6995448a3badfaffe6318bfd.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77931e209131cea74147.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa72af1e209131cea57d9a.md>)

Recorded evaluation configuration: {"Generated samples":"10K"}. This record does not assert independent reproduction.

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