PowerSim foam_evolve bundle: 8 PowerFoam checkpoints, bonsai material field, selections

README.md

@@ -30,3 +30,13 @@ tags:
 image size, camera-to-world poses, the eye/right/up vectors of each view and one shared set of
 camera-space ray directions, from which each view's ray map is rebuilt exactly as PowerFoam's
 dataset loader does.
+
+## material_estimation bundle
+
+| Path | Content |
+|---|---|
+| `powerfoam_ckpt/carnations_sfm@ae005aa7/` | the carnation checkpoint (2.1 GB) + cameras |
+| `selections/carnations_sfm@ae005aa7/flower_mask_dilated20.pt` | the flower primitives (195 299 of 1.2 M) |
+| `selections/carnations_sfm@ae005aa7/interior_fill_cache_flower_mask_dilated20.pt` | interior particle filling of that selection (regenerable with `powersim.material_estimation.filling.precompute_interior_fill`) |
+| `gt_video/carnation/carnation_poke.mp4` | the captured poke video (training camera 0) |
+| `mat_prop_ckpt/carnation/` | the field recovered for the paper: `material_field.pt` (simulator format), `triplane_fields.pt` / `velocity_field.pt` (stage-2 / stage-1 state dicts), `selection.pt`, `sim_config.json`, reference loss curves and `reference_final_mat.png` |

gt_video/carnation/carnation_poke.mp4

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mat_prop_ckpt/carnation/material_field.pt

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mat_prop_ckpt/carnation/reference_loss_curve_stage1.txt

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mat_prop_ckpt/carnation/reference_loss_curve_stage2.txt

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mat_prop_ckpt/carnation/selection.pt

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mat_prop_ckpt/carnation/sim_config.json

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+{
+    "material": "jelly",
+    "n_grid": 64,
+    "grid_lim": 2.0,
+    "E": 1e7,
+    "nu": 0.4,
+    "density": 200,
+    "g": [0.0, 0.0, 0.0],
+    "grid_v_damping_scale": 1.1,
+    "rpic_damping": 0.0,
+    "substep_dt": 3e-5,
+    "frame_dt": 4e-2,
+    "frame_num": 80,
+    "scale": 1.0,
+    "rotation_degree": [],
+    "rotation_axis": [],
+    "boundary_conditions": [
+        {
+            "type": "surface_collider",
+            "point": [1.1458271741867065, 1.1321686506271362, 0.8681010007858276],
+            "normal": [-0.0070852660574018955, -0.9115903973579407, -0.4110386371612549],
+            "surface": "sticky",
+            "friction": 0.0,
+            "start_time": 0,
+            "end_time": 1e3
+        },
+        {
+            "type": "particle_impulse",
+            "force": [0.02, 0.0, 0.0],
+            "point": [1.199636, 0.831627, 0.653770],
+            "size": [0.08607730269432068, 0.09633133560419083, 0.09854817390441895],
+            "num_dt": 40,
+            "start_time": 0
+        }
+    ],
+    "default_camera_index": 0
+}

mat_prop_ckpt/carnation/triplane_fields.pt

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mat_prop_ckpt/carnation/velocity_field.pt

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powerfoam_ckpt/carnations_sfm@ae005aa7/cameras_test.pt

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powerfoam_ckpt/carnations_sfm@ae005aa7/cameras_train.pt

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powerfoam_ckpt/carnations_sfm@ae005aa7/config.yaml

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+alpha_format_on_disk: premultiplied
+bkgd_color: [0.0, 0.0, 0.0]
+contribution_weight: 0.1
+data_path: data/render_data
+dataset: colmap
+densify_from: 1000
+densify_until: 24000
+density_lr_final: 1.0
+density_lr_init: 1.0
+disable_coop_adj_load: false
+disable_coop_prim_load: false
+downsample: [8, 4]
+downsample_iterations: [0, 500]
+dry_run: false
+eval: true
+experiment_name: ''
+final_points: 1200000
+init_bound_scale: 0.4
+init_points: 100000
+init_type: sfm
+interpenetration_weight: 0.0001
+is_pinhole: false
+iterations: 30000
+normal_supervision: false
+normal_weight: 0.1
+num_texel_sites: 8
+points_lr_final: 0.0001
+points_lr_init: 0.001
+quaternions_lr_final: 0.01
+quaternions_lr_init: 0.1
+radii_lr_final: 1.0e-05
+radii_lr_init: 0.0001
+render_objective: volume
+scene: carnations_sfm
+sv_dof: 8
+texel_height_lr_final: 0.001
+texel_height_lr_init: 0.01
+texel_sites_lr_final: 0.001
+texel_sites_lr_init: 0.01
+texel_sv_axis_lr_final: 0.001
+texel_sv_axis_lr_init: 0.01
+texel_sv_rgb_lr_final: 0.0002
+texel_sv_rgb_lr_init: 0.002
+use_metric3d: false
+viewer: false

powerfoam_ckpt/carnations_sfm@ae005aa7/model.pt

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selections/carnations_sfm@ae005aa7/flower_mask_dilated20.pt

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selections/carnations_sfm@ae005aa7/interior_fill_cache_flower_mask_dilated20.pt

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