Songyou Peng, Marc Pollefeys, Jonas Kulhanek, Torsten Sattler, Zuzana Kukelova
We lifted 21 functions out of this paper's own repositories and ran 16 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| jkulhanek/wild-gaussians | canonical | 16 of 21 |
| Function | Status | Where it lives |
|---|---|---|
| assert_not_none | Ran | jkulhanek/wild-gaussians/wildgaussians/method.py pointer only (licence: NOASSERTION) · get_code("e2fb6187962474ce") |
| assert_not_none | Ran | jkulhanek/wild-gaussians/wildgaussians/evaluation.py pointer only (licence: NOASSERTION) · get_code("7db796cdd6ad22ac") |
| assert_not_none | Ran | jkulhanek/wild-gaussians/wildgaussians/utils.py pointer only (licence: NOASSERTION) · get_code("3343ef634c1e8a16") |
| dmpix_ssim | Ran | jkulhanek/wild-gaussians/wildgaussians/evaluation.py pointer only (licence: NOASSERTION) · get_code("65af632cd1b474cf") |
| drop_add_residual_stochastic_depth | Ran | jkulhanek/wild-gaussians/wildgaussians/dinov2.py pointer only (licence: NOASSERTION) · get_code("bd91e9a4fc420313") |
| drop_path | Ran | jkulhanek/wild-gaussians/wildgaussians/dinov2.py pointer only (licence: NONE) · get_code("c157f5b112b3a392") |
| make_2tuple | Ran | jkulhanek/wild-gaussians/wildgaussians/dinov2.py pointer only (licence: NONE) · get_code("3c04490a215299f2") |
| pad_poses | Ran | jkulhanek/wild-gaussians/wildgaussians/datasets/_common.py pointer only (licence: NOASSERTION) · get_code("2980b569c9e6ba85") |
| read_cameras_text | Ran | jkulhanek/wild-gaussians/wildgaussians/datasets/_colmap_utils.py pointer only (licence: NONE) · get_code("8a38e306ff4c5b42") |
| read_next_bytes | Ran | jkulhanek/wild-gaussians/wildgaussians/datasets/_colmap_utils.py pointer only (licence: NONE) · get_code("56858e04e6fdb2ff") |
| rotation_matrix | Ran | jkulhanek/wild-gaussians/wildgaussians/datasets/_common.py pointer only (licence: NOASSERTION) · get_code("d61d33fc47413d81") |
| spatial_average | Ran | jkulhanek/wild-gaussians/wildgaussians/_metrics_lpips.py pointer only (licence: NONE) · get_code("29e5e72bcd006dcd") |
| srgb_to_linear | Ran | jkulhanek/wild-gaussians/wildgaussians/utils.py pointer only (licence: NOASSERTION) · get_code("e4806ed5a1eb8585") |
| ssim | Ran | jkulhanek/wild-gaussians/wildgaussians/evaluation.py pointer only (licence: NOASSERTION) · get_code("328e135581413fe7") |
| unpad_poses | Ran | jkulhanek/wild-gaussians/wildgaussians/datasets/_common.py pointer only (licence: NOASSERTION) · get_code("e1e33ba4f452b9ac") |
| upsample | Ran | jkulhanek/wild-gaussians/wildgaussians/_metrics_lpips.py pointer only (licence: NOASSERTION) · get_code("79a2a8a370c460a5") |
| convert_image_dtype | Not yet run | jkulhanek/wild-gaussians/wildgaussians/method.py pointer only (licence: NONE) · get_code("aae353a107ad40dc") |
| get_torch_checkpoint_sha | Not yet run | jkulhanek/wild-gaussians/wildgaussians/method.py pointer only (licence: NOASSERTION) · get_code("f3570c44fceb6d12") |
| load_phototourism_dataset | Not yet run | jkulhanek/wild-gaussians/wildgaussians/datasets/phototourism.py pointer only (licence: NOASSERTION) · get_code("e8bd393ac5b12214") |
| normalize_tensor | Not yet run | jkulhanek/wild-gaussians/wildgaussians/_metrics_lpips.py pointer only (licence: NONE) · get_code("61221a9686133a8c") |
| read_cameras_binary | Not yet run | jkulhanek/wild-gaussians/wildgaussians/datasets/_colmap_utils.py pointer only (licence: NONE) · get_code("4a20cdd355703af3") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
Ground truth Prediction NeRF On-the-go [31] Uncertainty Figure 1: WildGaussians extends 3DGS [14] to scenes with appearance and illumination changes (left). It jointly optimizes a DINO-based [27] uncertainty predictor to handle occlusions (right).
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2407.08447")
get_code_for_paper("2407.08447")
have("2407.08447")
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