Alaya Lab · Technical report · 2026

Sprint3D: Accelerating End-to-End 3D Asset Generation through Pipeline Optimization

From one image to a textured 3D asset in 4.05 s,
33× faster than the released Pixal3D.

Image to textured GLB · one H200 GPU · median of 77 inputs · split by mean stage times

Base (Pixal3D)
133 s
Ours
4.05 s33× FASTER
NetworksMesh post-processingInput and other

OutputsAssets generated by our pipeline, each from one image.

ASSET

–

Shading
Input image
INPUT IMAGE
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Web copies: 100k faces, 1024² textures. Exported assets: about 1M faces, 4096² textures.

Single-image generationInput-view normal maps against the ground truth, following the Pixal3D paper.

At the same export settings our pipeline is 33× faster and on par with or better than the released Pixal3D on the normal metrics, with a slightly lower silhouette IoU.

Time per image: median of the timing run on validation inputs, one H200 GPU.
MethodSilhouette IoU(%) ↑Normal PSNR(dB, overlap region) ↑Mean angular error(°) ↓Chamfer distance(×10⁻³) ↓F-score@0.01 ↑ULIP-2↑Uni3D↑Time per image(s) ↓
TRELLIS.279.5517.1525.0628.010.5230.4240.394–
TripoSG59.8714.2238.8758.620.2390.3970.373–
Hunyuan3D-2.159.8214.3139.3359.940.2640.4420.403–
Base (Pixal3D)96.9720.8714.2526.610.3920.4230.391133.0
Ours96.7821.5613.0025.550.4080.4150.3854.05

Chamfer distance and F-score use each method's own frame, without alignment. Ours is slightly lower on ULIP-2 and Uni3D, which the report traces to thicker inner walls of the remeshed shells.

Secondary comparison · 400 validation objects

Validation set

These objects also served model selection. The same picture holds, with a slightly lower mean silhouette IoU from six failure objects.

Time per image on one H200 GPU.
MethodSilhouette IoU(%) ↑Normal PSNR(dB, overlap region) ↑Mean angular error(°) ↓Chamfer distance(×10⁻³) ↓F-score@0.01 ↑ULIP-2↑Uni3D↑Time per image(s) ↓
TRELLIS.271.8815.8028.9234.440.4140.4040.367–
TripoSG60.3513.3940.4557.330.2070.3610.333–
Hunyuan3D-2.164.9014.4734.5642.280.2860.4180.375–
Base (Pixal3D)96.6019.2017.2238.500.3140.4060.367133.0
Ours96.3319.8215.9237.240.3320.3950.3594.05

BibTeXTechnical report, 2026. arXiv identifier to follow.

@misc{kuno2026sprint3d,
  title  = {Sprint3D: Accelerating End-to-End 3D Asset Generation through Pipeline Optimization},
  author = {Kuno, Sho and Yu, Ruihan and Yu, Yonghao and
            Lin, Guixu and Fu, Lian and Niu, Muyao and
            Tsai, Yu-Ju and Huang, Zheng-Hui and Huang, Yi-Chuan and
            Yang, Siqi and Lan, Fengbo and Wu, Erwin and
            Zhang, Kaipeng and Wang, Zhixiang},
  year   = {2026},
  note   = {Alaya Lab technical report}
}