Comments (3)
davnov134
commented on June 24, 2024
Indeed, all reconstructions are generated using an automated algorithm (as described in the paper).
We include the point_cloud_quality_score in SequenceAnnotations. Make sure to use point clouds with this score being high.
Note that we plan to release a new version very soon with better foreground masks/point clouds, stay tuned.
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davnov134
commented on June 24, 2024
Hello, please checkout the newly released version 2 of CO3D, it contains significantly improved segmentation masks.
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yd-yin
commented on June 24, 2024
Hi, thanks for your response and your great effort on this.
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Related Issues (20)
- About loading data of multiple categories
- Problems with training original NeRF using CO3D dataset HOT 1
- Incorrect frame-to-sequence labelling, or image files, in dataset HOT 5
- How to generate 3d file, using the dataset?
- Quick question about the get_rgbd_point_cloud function HOT 2
- Which categories do you use in Table 3. of your paper? HOT 2
- Release raw video data?
- absolute scale? HOT 1
- Units of the pointclouds HOT 1
- fewview_train subset JSON contain frames that belong in both of train and test sets HOT 2
- Unit of depth maps w.r.t. camera extrinsics HOT 3
- Any documents of v2? HOT 3
- Camera focal length for the test set different from dev set HOT 2
- Is it possible tp provide User ID for each sequence?
- Is it possible to download subset with depth maps, and extrinsincs HOT 3
- get_eval_batches_map returns wrong shape of results HOT 1
- Statistics for v2 HOT 2
- Wrong depth mask in the dataset HOT 8
- Pure black frames in single sequence dataset HOT 1
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