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VincentNi
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EmbodiedVideoRL_baseline_put_object_cabinet

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Video
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Tags:
robotwin
embodied
wan2.2
ti2v
baseline
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0robotwin_put_object_cabinet_123500051
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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

First-round (pre-NFT) Wan2.2 TI2V baseline rollouts: put_object_cabinet

Baseline video rollouts generated before any NFT fine-tuning (NFT step 0) for the RoboTwin put_object_cabinet task. Used as a reference distribution for measuring NFT improvement.

Generation config

Field Value
Model Wan2.2-TI2V-5B + merged_vidar_lora.pt (no extra LoRA)
Resolution 640 x 736
Frames / fps 121 / 24 (~5.04s)
Sampling SDE (eta=1.0), 50 steps, shift=5.0, guide_scale=5.0
Seed base=42, per-rollout seed=42+g (g in [0,15])
Scenes 10 (full data/rl_train/robotwin_put_object_cabinet.json)
Rollouts/scene 16
Total videos 160

Generated by scripts/inference/rollout_first_round_put_object_cabinet.sh in https://github.com/VincentNi0107/EmbodiedVideoRL.

Layout 

robotwin_put_object_cabinet_<scene_id>/
    robotwin_put_object_cabinet_<scene_id>_g<NN>_s<seed>.mp4
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