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EmbodiedVideoRL_baseline_put_object_cabinet

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wan2.2
ti2v
baseline
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  1. README.md +40 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - video-generation
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+ tags:
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+ - robotwin
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+ - embodied
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+ - wan2.2
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+ - ti2v
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+ - baseline
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+ ---
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+
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+ # First-round (pre-NFT) Wan2.2 TI2V baseline rollouts: put_object_cabinet
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+
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+ Baseline video rollouts generated **before any NFT fine-tuning** (NFT step 0)
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+ for the RoboTwin `put_object_cabinet` task. Used as a reference distribution
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+ for measuring NFT improvement.
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+
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+ ## Generation config
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+
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+ | Field | Value |
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+ |-------|-------|
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+ | Model | `Wan2.2-TI2V-5B` + `merged_vidar_lora.pt` (no extra LoRA) |
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+ | Resolution | 640 x 736 |
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+ | Frames / fps | 121 / 24 (~5.04s) |
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+ | Sampling | SDE (eta=1.0), 50 steps, shift=5.0, guide_scale=5.0 |
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+ | Seed | base=42, per-rollout `seed=42+g` (g in [0,15]) |
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+ | Scenes | 10 (full `data/rl_train/robotwin_put_object_cabinet.json`) |
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+ | Rollouts/scene | 16 |
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+ | Total videos | 160 |
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+
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+ Generated by `scripts/inference/rollout_first_round_put_object_cabinet.sh`
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+ in https://github.com/VincentNi0107/EmbodiedVideoRL.
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+
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+ ## Layout
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+
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+ ```
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+ robotwin_put_object_cabinet_<scene_id>/
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+ robotwin_put_object_cabinet_<scene_id>_g<NN>_s<seed>.mp4
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+ ```
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