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YAML Metadata Warning:The task_categories "video-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
3D-To-Video Demo Samples
Sample data for the 3D-To-Video pipeline.
Contents
OMOMO (InterAct) - 3 sequences
Human-object interaction data with separate SMPLX body and object meshes.
sub12_woodchair_005- Person interacting with a wooden chairsub14_suitcase_010- Person handling a suitcasesub12_tripod_010- Person setting up a tripod
Each sequence contains:
human.npz- SMPLX poses, betas, translations, genderobject.npz- Object euler angles, translations, name- Object meshes in
omomo/objects/{name}/{name}.obj
HUMOTO - 2 sequences
Animated humanoid GLB files with integrated human-object interactions.
lifting_and_putting_down_dining_chair-368eating_from_plastic_bowl_with_spoon-596
Each contains a .glb animation file.
Usage
# Download via huggingface_hub
python download_data.py
# Or manually
hf download kinam0252/3D-To-Video-samples --repo-type dataset --local-dir data/
Requirements
- SMPLX model files (download from SMPLX website)
- Blender 5.1+ for rendering
- VACE model for V2V conversion
License
OMOMO data from InterAct. HUMOTO data from HUMOTO dataset.
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