Rename lantern-nerfacto method to PanDORA

Rename the method registration and its description/config key, plus the
ns-train invocations in the Pandora README. Existing on-disk checkpoint
paths (outputs/.../lantern-nerfacto/...) are intentionally left unchanged.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

README-pandora.md

@@ -155,7 +155,7 @@ ns-process-data images --data /mnt/data/garden/images --output-dir /mnt/data/gar
 1. Run step 1 of lantern-nerfacto.
 
     ```
-    ns-train lantern-nerfacto --data /mnt/data/scene/scene_ns/ --viewer.websocket-port 8008 --pipeline.datamanager.train-num-images-to-sample-from 1800 --pipeline.model.lantern_steps 1 --pipeline.datamanager.pixel-sampler.lantern_steps 1 --max-num-iterations 60000
+    ns-train PanDORA --data /mnt/data/scene/scene_ns/ --viewer.websocket-port 8008 --pipeline.datamanager.train-num-images-to-sample-from 1800 --pipeline.model.lantern_steps 1 --pipeline.datamanager.pixel-sampler.lantern_steps 1 --max-num-iterations 60000
     ```
 
     1.1. For better alignment between the well and the fast exposed images, run the following command.
@@ -166,7 +166,7 @@ ns-process-data images --data /mnt/data/garden/images --output-dir /mnt/data/gar
 2. Run step 2 of lantern-nerfacto.
     
     ```
-    ns-train lantern-nerfacto --data /mnt/data/scene/scene_ns/ --viewer.websocket-port 8008 --pipeline.datamanager.train-num-images-to-sample-from 1800 --pipeline.model.lantern_steps 2 --pipeline.datamanager.pixel-sampler.lantern_steps 2 --load-dir /mnt/workspace/lantern/nerfstudio-HDR/outputs/scene_ns/lantern-nerfacto/2024-06-10_155559/nerfstudio_models --pipeline.model.apply_mu_law False --max-num-iterations 120000
+    ns-train PanDORA --data /mnt/data/scene/scene_ns/ --viewer.websocket-port 8008 --pipeline.datamanager.train-num-images-to-sample-from 1800 --pipeline.model.lantern_steps 2 --pipeline.datamanager.pixel-sampler.lantern_steps 2 --load-dir /mnt/workspace/lantern/nerfstudio-HDR/outputs/scene_ns/lantern-nerfacto/2024-06-10_155559/nerfstudio_models --pipeline.model.apply_mu_law False --max-num-iterations 120000
     ```
 
 ## 4. View results

nerfstudio/configs/method_configs.py

@@ -78,9 +78,9 @@ method_configs: Dict[str, TrainerConfig] = {}
 descriptions = {
     "nerfacto": "Recommended real-time model tuned for real captures. This model will be continually updated.",
     "nerfacto-HDR": "Nerfacto that take HDR as input, and output HDR field.",
-    "lantern-nerfacto": "Nerfacto that train on two exposures.",
+    "PanDORA": "Nerfacto that train on two exposures.",
     "panoHDR-nerfacto": "Nerfacto that take HDR as input, and output HDR field.",
-    # "lantern-nerfacto": "Nerfacto that take HDR as input, and output HDR field.",
+    # "PanDORA": "Nerfacto that take HDR as input, and output HDR field.",
     "hdr-nerfacto": "HDR-Nerfacto, adapted to the Nerfacto model.",
     "hdr-nerfacto-wo-crf": "HDR-Nerfacto without CRF, adapted to the Nerfacto model.",	
     "depth-nerfacto": "Nerfacto with depth supervision.",
@@ -131,7 +131,7 @@ method_configs["nerfacto"] = TrainerConfig(
     vis="viewer",
 )
 
-method_configs["lantern-nerfacto"] = Get_lantern_config()
+method_configs["PanDORA"] = Get_lantern_config()
 method_configs["panoHDR-nerfacto"] = Get_PanoHDR_Nerfacto_config()
 
 method_configs["hdr-nerfacto"] = get_hdr_nerfacto_config(use_crf=True, clip_before_accumulation=False)

nerfstudio/lantern/config.py

@@ -20,7 +20,7 @@ from nerfstudio.pipelines.base_pipeline import VanillaPipelineConfig
 
 def Get_lantern_config():
     return TrainerConfig(
-    method_name="lantern-nerfacto",
+    method_name="PanDORA",
     steps_per_eval_batch=500,
     steps_per_save=2000,
     max_num_iterations=100000,