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Yangyihui commited on
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1 Parent(s): cfd01c1

Update project page and code repository links

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  1. README.md +5 -5
README.md CHANGED
@@ -20,9 +20,9 @@ Prepared Internet navigation videos, instructions, recorded simulation
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  trajectories and evaluation selections for **ScaleNav: Scalable Internet Video
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  Pretraining for Language-Conditioned Local Navigation**.
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- [Code](https://github.com/yangyihui0502/ScaleNav) ·
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  [Model](https://huggingface.co/Yangyihui/ScaleNav) ·
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- [Project page](https://yangyihui0502.github.io/scalenav-review/)
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  ## Download and prepare
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@@ -52,9 +52,9 @@ and a separate output directory. Packs remain in `--source` for reuse; omit
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  `--download` to prepare from an existing local cache. The small training subset
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  is part of the training split, not a navigation benchmark.
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- See the [data guide](https://github.com/yangyihui0502/ScaleNav/blob/main/docs/DATA.md)
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  for simulation preparation and latent caching, and the
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- [training guide](https://github.com/yangyihui0502/ScaleNav/blob/main/docs/TRAINING.md)
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  for the four training phases. The combined small training subset uses the video
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  pack above and one approximately 44 MB scene from the official InteriorGS release.
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@@ -87,7 +87,7 @@ Download InteriorGS scenes from the official source and replay our recorded
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  poses to render training video. Simulation scenes, rendered simulation videos
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  and latent caches are not included in these Internet video packs.
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- The [evaluation guide](https://github.com/yangyihui0502/ScaleNav/blob/main/docs/EVALUATION.md)
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  provides separate preparation and evaluation commands for:
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  | Benchmark | Tasks | Total data download |
 
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  trajectories and evaluation selections for **ScaleNav: Scalable Internet Video
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  Pretraining for Language-Conditioned Local Navigation**.
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+ [Code](https://github.com/MachEmbodied/ScaleNav) ·
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  [Model](https://huggingface.co/Yangyihui/ScaleNav) ·
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+ [Project page](https://zju3dv.github.io/ScaleNav/)
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  ## Download and prepare
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  `--download` to prepare from an existing local cache. The small training subset
53
  is part of the training split, not a navigation benchmark.
54
 
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+ See the [data guide](https://github.com/MachEmbodied/ScaleNav/blob/main/docs/DATA.md)
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  for simulation preparation and latent caching, and the
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+ [training guide](https://github.com/MachEmbodied/ScaleNav/blob/main/docs/TRAINING.md)
58
  for the four training phases. The combined small training subset uses the video
59
  pack above and one approximately 44 MB scene from the official InteriorGS release.
60
 
 
87
  poses to render training video. Simulation scenes, rendered simulation videos
88
  and latent caches are not included in these Internet video packs.
89
 
90
+ The [evaluation guide](https://github.com/MachEmbodied/ScaleNav/blob/main/docs/EVALUATION.md)
91
  provides separate preparation and evaluation commands for:
92
 
93
  | Benchmark | Tasks | Total data download |