Datasets:
The dataset viewer is not available for this dataset.
Error code: JWTInvalidSignature
Exception: InvalidSignatureError
Message: Signature verification failed
Traceback: Traceback (most recent call last):
File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
decoded = jwt.decode(
jwt=token,
...<2 lines>...
options=options,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
decoded = self.decode_complete(
jwt,
...<8 lines>...
leeway=leeway,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
decoded = self._jws.decode_complete(
jwt,
...<3 lines>...
detached_payload=detached_payload,
)
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
self._verify_signature(
~~~~~~~~~~~~~~~~~~~~~~^
signing_input,
^^^^^^^^^^^^^^
...<4 lines>...
options=merged_options,
^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
raise InvalidSignatureError("Signature verification failed")
jwt.exceptions.InvalidSignatureError: Signature verification failedNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Objaverse-PBR-render
PBR rendered condition videos for Ink3D β a 3D texture generation pipeline using video generative models.
π Paper: Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
π» Code: github.com/YueHan99/Ink3D.TextureGen
π€ Model: Yuehavingfun/orbitpainter-single
This dataset provides pre-rendered geometry condition videos (position, normal, albedo, RGB, depth, mask) for ~23,000 Objaverse models, rendered from horizontal (H) and vertical (V) camera orbits (120 cameras each, 120 frames at 1024Γ1024).
Directory Structure
h/videos_curve/{bucket}/{uuid}/
βββ albedo.mp4 # Base color
βββ position.mp4 # World-space position map
βββ normal.mp4 # Normal map
βββ rgb.mp4 # Shaded color (white background)
βββ depth.mp4 # Depth map
βββ mask.mp4 # Alpha mask
v/videos_curve/{bucket}/{uuid}/
βββ albedo.mp4
βββ position.mp4
βββ normal.mp4
βββ rgb.mp4
βββ depth.mp4
βββ mask.mp4
- Buckets: 121 directories (
000-000to000-120) - Samples: ~23,617 models per track
- Total: ~140K video files, ~142 GB
Render Your Own Data
To render condition videos from your own GLB models, use the Ink3D Render module:
Reconstruction
Verify dataset quality by baking rendered videos back to textured PBR GLB using the Ink3D reconstruction pipeline:
conda activate trellis2
python bake_pbr.py --sha256 "000-000/{uuid}" --video_path "./albedo_h.mp4" --output_dir ./output
Produces bake_1024_a.glb with baseColor + metallicRoughness textures from the rendered videos and camera parameters.
Source
Rendered from Objaverse 1.0 GLB models using Blender 4.0+ with CYCLES GPU.
Citation
@article{han2026ink3d,
title = {Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models},
author = {Han, Yue and Li, Chong and Liu, Zhening and Huang, Cong and Deng, Fang and Liu, Yong and Wei, Fangyun and Lu, Yan},
journal = {arXiv preprint arXiv:2607.01222},
year = {2026},
}
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