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{20251026_082128_831350 → 20251025_174116_607035}/options.json

@@ -7572,24 +7572,8 @@
     "adaptor_options": {
         "enable": true,
         "train_denoiser": false,
-        "film": {
-            "film_id": "film",
-            "denoiser_layers": [
-                "model.m_head",
-                "model.m_down1.2.res.2",
-                "model.m_down2.2.res.2",
-                "model.m_down3.2.res.2",
-                "model.m_body.1.res.2",
-                "model.m_up3.2.res.2",
-                "model.m_up2.2.res.2",
-                "model.m_up1.2.res.2"
-            ],
-            "feature_dim": 128,
-            "use_spatial_pool": true
-        },
-        "grouper": {
-            "group_id": "sequential",
-            "batched": true
+        "projection": {
+            "projection_id": "deep_encoder_decoder"
         }
     }
 }

20251026_035736_830488/options.json

@@ -7574,9 +7574,6 @@
         "train_denoiser": false,
         "grouper": {
             "group_id": "band_selection"
-        },
-        "skip": {
-            "skip_id": "attention_skip"
         }
     }
 }

20251026_044313_346452/options.json

@@ -7572,8 +7572,11 @@
     "adaptor_options": {
         "enable": true,
         "train_denoiser": false,
-        "projection": {
-            "projection_id": "deep_encoder_decoder"
+        "grouper": {
+            "group_id": "band_selection"
+        },
+        "skip": {
+            "skip_id": "attention_skip"
         }
     }
 }

20251026_063231_578169/options.json

@@ -7572,8 +7572,21 @@
     "adaptor_options": {
         "enable": true,
         "train_denoiser": false,
+        "film": {
+            "film_id": "film",
+            "denoiser_layers": [
+                "model.m_head",
+                "model.m_down2.2.res.2",
+                "model.m_body.1.res.2",
+                "model.m_up2.2.res.2"
+            ],
+            "feature_dim": 128,
+            "use_spatial_pool": true
+        },
         "projection": {
-            "projection_id": "progressive_projection"
+            "projection_id": "qr_encoder_deep_decoder",
+            "ensure_lipschitz": true,
+            "decoder_hidden_channels": 128
         }
     }
 }

README.md

@@ -13,13 +13,13 @@ These weights are meant to be used with the `hypnp` library:
 <http://github.com/Danaroth83/hypnp>
 
 In particular the weights contained in this folder are associated to the following adapting architecture:
-- `20250922_160658_495381`: Progressive injection with skip attention module.
-- `20250922_173031_803562`: An encoding/decoder network.
-- `20250926_125509_133496`: A skip connection with an attention module.
-- `20251019_163957_302293`: Spectral projection encoder/decoder, the encoder is computed with QR decomposition, while the decoder is a CNN network.
-- `20251019_163951_000174`: A FiLM that hooks middle layers of the DRUNet. Baseline result.
-- `20251019_163950_994277`: A FiLM network. With respect to baseline, context from current computation is not passed to the hooks.
-- `20251019_190756_177008`: A FiLM network. With respect to baseline, this network hooks to all the layers of DRUNet.
+- `20251025_174116_606035` - `projection_encoder`: An encoding/decoder network.
+Progressive injection with skip attention module.
+- `20251026_035736_830488` - `grouper_arranger`: An band selection module.
+- `20251026_044313_346452` - `grouper_arranger_skip`: A band selection module with skip attention network.
+- `20251026_141518_492696` - `film_middle`: A FiLM that hooks middle layers of the DRUNet. Baseline result.
+- `20251026_063231_578169` - `film_middle_qr`: FiLM network with QR projection of the input.
+- `20251027_091506_635645` - `film_middle_qr_groups_10`: FiLM network with QR projection, with inputs passed sequentially in groups of 10.
 
 
 # Credits