Upload SplatAtlas benchmark pipeline code

INSTALL.sh

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+#!/bin/bash
+# Deployment script for splatatlas_full_patch.tar.gz
+# Run from /root/autodl-tmp/SplatAtlas/
+#
+# What this does:
+#   1. Sanity-check we're in the right directory
+#   2. Back up the 4 files that will be overwritten
+#   3. Extract the patch (methods/, configs/, run_*.py, INSTALL.sh)
+#   4. Auto-generate pixelgssgf_benchmark.yaml and sgfgs_benchmark.yaml
+#      from absgs template if they don't exist (with method_name swapped)
+#   5. Run verification grep checks
+
+set -e
+
+EXPECTED_ROOT="/root/autodl-tmp/SplatAtlas"
+if [ "$(pwd)" != "$EXPECTED_ROOT" ]; then
+    echo "ERROR: please cd to $EXPECTED_ROOT first"
+    echo "       (you are in $(pwd))"
+    exit 1
+fi
+
+PATCH=splatatlas_full_patch.tar.gz
+if [ ! -f "$PATCH" ]; then
+    echo "ERROR: $PATCH not found in $(pwd)"
+    exit 1
+fi
+
+# ---- 1. Backup the 4 modified files ----
+BACKUP_DIR=".backup_$(date +%Y%m%d_%H%M%S)"
+mkdir -p "$BACKUP_DIR"
+for f in methods/wrapper_absgs.py methods/wrapper_pixelgs.py \
+         methods/wrapper_pixelgssgf.py methods/wrapper_sgfgs.py; do
+    if [ -f "$f" ]; then
+        cp "$f" "$BACKUP_DIR/"
+    fi
+done
+echo "[1/4] backed up 4 modified wrappers → $BACKUP_DIR/"
+
+# ---- 2. Extract patch ----
+tar -xzf "$PATCH"
+echo "[2/4] patch extracted"
+
+# ---- 3. Auto-generate the two configs that might be missing ----
+for missing in pixelgssgf sgfgs; do
+    target="configs/${missing}_benchmark.yaml"
+    if [ ! -f "$target" ]; then
+        if [ -f configs/absgs_benchmark.yaml ]; then
+            sed "s/^method_name: absgs/method_name: ${missing}/" \
+                configs/absgs_benchmark.yaml > "$target"
+            echo "[3/4] generated missing $target from absgs template"
+        else
+            echo "[3/4] WARNING: $target missing AND no absgs_benchmark.yaml to clone from"
+        fi
+    fi
+done
+
+# ---- 4. Verification ----
+echo "[4/4] verification:"
+echo ""
+
+echo "--- SGF residue in wrapper_pixelgs.py (should be empty) ---"
+grep -n "SGFController\|guided_l1_loss\|guided_ssim_loss" methods/wrapper_pixelgs.py \
+    && echo "  FAIL: residue found" || echo "  PASS"
+echo ""
+
+echo "--- pixels kept in wrapper_pixelgs.py (should have 2 lines) ---"
+grep -n "pixels" methods/wrapper_pixelgs.py | grep -E "render_pkg|add_densification" || echo "  FAIL"
+echo ""
+
+echo "--- new wrappers registered ---"
+grep -n "register_method" methods/wrapper_edgeloss.py methods/wrapper_vanillasgf.py
+echo ""
+
+echo "--- timing in all 6 wrappers ---"
+for f in absgs pixelgs pixelgssgf sgfgs vanillasgf edgeloss; do
+    if [ -f "methods/wrapper_${f}.py" ]; then
+        n_time=$(grep -c "iter_time_ms\|render_ms\|vram_allocated" methods/wrapper_${f}.py)
+        echo "  wrapper_${f}.py: $n_time timing references"
+    fi
+done
+echo ""
+
+echo "--- configs present ---"
+ls -1 configs/*_benchmark.yaml
+echo ""
+
+echo "--- run scripts present ---"
+ls -1 run_*.py
+echo ""
+
+echo "--- master execution plan dependency check ---"
+for need in run_vanillasgf.py run_absgs.py run_pixelgs.py run_edgeloss.py run_vanilla.py; do
+    if [ -f "$need" ]; then
+        echo "  OK   $need"
+    else
+        echo "  MISS $need  (run_all.py will skip this method)"
+    fi
+done
+echo ""
+
+echo "DONE. To run a single method:   python run_<method>.py"
+echo "      To run all methods:        python run_all.py"
+echo "      To dry-run plan:           python run_all.py --dry-run"
+echo ""
+echo "Backup of pre-patch wrappers:    $BACKUP_DIR/"

configs/2dgs_benchmark.yaml

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+method_name: 2dgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - barn
+  - caterpillar
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom
+  - truck

configs/2dgssgf_tnt_benchmark.yaml

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+method_name: 2dgssgf
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - barn
+  - caterpillar
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom
+  - truck

configs/3dgs_dr_benchmark.yaml

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+method_name: 3dgs_dr
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/3dgsmcmc_benchmark.yaml

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+method_name: 3dgsmcmc
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/3dgut_benchmark.yaml

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+method_name: 3dgut
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Synthetic NeRF
+  base_path: /root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF
+  resolution: 1
+  scenes:
+  - Mic
+  - Ship

configs/aaags_benchmark.yaml

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+method_name: aaags
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - caterpillar
+  - truck
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/absgs_benchmark.yaml

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+method_name: absgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - auditorium
+  - ballroom
+  - courtroom
+  - family
+  - francis
+  - horse
+  - lighthouse
+  - m60
+  - museum
+  - palace
+  - panther
+  - playground
+  - temple
+  - train
+- name: Mip-NeRF_360_Indoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 2
+  scenes:
+  - bonsai
+  - counter
+  - kitchen
+  - room
+- name: Mip-NeRF_360_Outdoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 4
+  scenes:
+  - bicycle
+  - flowers
+  - garden
+  - stump
+  - treehill

configs/absgssgf_benchmark.yaml

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+method_name: absgssgf
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/analyticsplatting_benchmark.yaml

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+method_name: analyticsplatting
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks and Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - barn
+  - caterpillar
+  - truck
+  - playground
+  - lighthouse
+  - train
+  - auditorium
+  - ballroom
+  - courtroom
+  - museum
+  - palace
+  - temple
+- name: Mip-NeRF 360 Indoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 2
+  scenes:
+  - bonsai
+  - counter
+  - kitchen
+  - room
+- name: Mip-NeRF 360 Outdoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 4
+  scenes:
+  - bicycle
+  - flowers
+  - garden
+  - stump
+  - treehill
+- name: Synthetic NeRF
+  base_path: /root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF
+  resolution: 1
+  scenes:
+  - Chair
+  - Drums
+  - Ficus
+  - Hotdog
+  - Lego
+  - Materials
+  - Mic
+  - Ship
+- name: Deep Blending
+  base_path: /root/autodl-tmp/dataset/deepblending_clean
+  resolution: 1
+  scenes:
+  - Playroom
+  - DrJohnson

configs/analyticsplatting_benchmark.yaml.four_scenes

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+method_name: analyticsplatting
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - ignatius

configs/atomgs_benchmark.yaml

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+method_name: atomgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - ignatius

configs/bags_benchmark.yaml

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+method_name: bags
+global_settings:
+  iterations: 60000
+  seeds:
+  - 0
+datasets:
+- name: Tanks and Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - barn
+  - caterpillar
+  - truck
+  - playground
+  - lighthouse
+  - train
+  - auditorium
+  - ballroom
+  - courtroom
+  - museum
+  - palace
+  - temple
+- name: Mip-NeRF 360 Indoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 2
+  scenes:
+  - bonsai
+  - counter
+  - kitchen
+  - room
+- name: Mip-NeRF 360 Outdoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 4
+  scenes:
+  - bicycle
+  - flowers
+  - garden
+  - stump
+  - treehill
+- name: Synthetic NeRF
+  base_path: /root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF
+  resolution: 1
+  scenes:
+  - Chair
+  - Drums
+  - Ficus
+  - Hotdog
+  - Lego
+  - Materials
+  - Mic
+  - Ship
+- name: Deep Blending
+  base_path: /root/autodl-tmp/dataset/deepblending_clean
+  resolution: 1
+  scenes:
+  - Playroom
+  - DrJohnson

configs/c3dgs_benchmark.yaml

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+method_name: "c3dgs"
+global_settings:
+  iterations: 5000
+  seeds: [0]
+
+datasets:
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Lego"]

configs/cdcgs_benchmark.yaml

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+method_name: cdcgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks and Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - barn
+  - caterpillar
+  - truck
+  - playground
+  - lighthouse
+  - train
+  - auditorium
+  - ballroom
+  - courtroom
+  - museum
+  - palace
+  - temple
+- name: Mip-NeRF 360 Indoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 2
+  scenes:
+  - bonsai
+  - counter
+  - kitchen
+  - room
+- name: Mip-NeRF 360 Outdoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 4
+  scenes:
+  - bicycle
+  - flowers
+  - garden
+  - stump
+  - treehill
+- name: Synthetic NeRF
+  base_path: /root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF
+  resolution: 1
+  scenes:
+  - Chair
+  - Drums
+  - Ficus
+  - Hotdog
+  - Lego
+  - Materials
+  - Mic
+  - Ship
+- name: Deep Blending
+  base_path: /root/autodl-tmp/dataset/deepblending_clean
+  resolution: 1
+  scenes:
+  - Playroom
+  - DrJohnson

configs/coadaptgs_benchmark.yaml

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+method_name: coadaptgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/compact3dgs_benchmark.yaml

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+method_name: "compact3dgs"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/compgs_benchmark.yaml

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+method_name: "compgs"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["truck", "train"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "garden"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Lego"]

configs/conegs_benchmark.yaml

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+method_name: conegs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/contextgs_benchmark.yaml

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+method_name: "contextgs"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]

configs/drkgs_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: drkgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/eagles_benchmark.yaml

@@ -0,0 +1,20 @@
+method_name: "eagles"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]

configs/edgeloss_benchmark.yaml

@@ -0,0 +1,41 @@
+method_name: edgeloss
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - auditorium
+  - ballroom
+  - courtroom
+  - family
+  - francis
+  - horse
+  - lighthouse
+  - m60
+  - museum
+  - palace
+  - panther
+  - playground
+  - temple
+  - train
+- name: Mip-NeRF_360_Indoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 2
+  scenes:
+  - bonsai
+  - counter
+  - kitchen
+  - room
+- name: Mip-NeRF_360_Outdoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 4
+  scenes:
+  - bicycle
+  - flowers
+  - garden
+  - stump
+  - treehill

configs/erankgs_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: erankgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/fds_benchmark.yaml

@@ -0,0 +1,10 @@
+method_name: "fds"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter"]

configs/fdsgs_benchmark.yaml

@@ -0,0 +1,20 @@
+method_name: "fdsgs"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["truck", "train"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["room", "bonsai"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["garden", "bicycle"]

configs/flod_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "flod"
+global_settings:
+  iterations: 100000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/gaussianfocus_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "gaussianfocus"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/gaussianpro_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: gaussianpro
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/gaussianshader_benchmark.yaml

@@ -0,0 +1,35 @@
+method_name: "gaussianshader"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/geogaussian_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "geogaussian"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/ges_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: ges
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/ghap_benchmark.yaml

@@ -0,0 +1,17 @@
+method_name: ghap
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+  hyperparams:
+    sampling_iter: 15000
+    sampling_ratio: 0.1
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/gigs_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "gigs"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/gof_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: gof
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/gsdf_benchmark.yaml

@@ -0,0 +1,12 @@
+method_name: gsdf
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - caterpillar
+  - truck

configs/gsgn_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "gsgn"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/gslpm_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: gslpm
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/gspull_benchmark.yaml

@@ -0,0 +1,57 @@
+method_name: gspull
+global_settings:
+  iterations: 15000
+  seeds:
+  - 0
+datasets:
+- name: Tanks and Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - barn
+  - caterpillar
+  - truck
+  - playground
+  - lighthouse
+  - train
+  - auditorium
+  - ballroom
+  - courtroom
+  - museum
+  - palace
+  - temple
+- name: Mip-NeRF 360 Indoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 2
+  scenes:
+  - bonsai
+  - counter
+  - kitchen
+  - room
+- name: Mip-NeRF 360 Outdoor
+  base_path: /root/autodl-tmp/dataset/360
+  resolution: 4
+  scenes:
+  - bicycle
+  - flowers
+  - garden
+  - stump
+  - treehill
+- name: Synthetic NeRF
+  base_path: /root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF
+  resolution: 1
+  scenes:
+  - Chair
+  - Drums
+  - Ficus
+  - Hotdog
+  - Lego
+  - Materials
+  - Mic
+  - Ship
+- name: Deep Blending
+  base_path: /root/autodl-tmp/dataset/deepblending_clean
+  resolution: 1
+  scenes:
+  - Playroom
+  - DrJohnson

configs/gsshader_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "gsshader"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/hac_plus_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "hac_plus"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/hogs_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: hogs
+global_settings:
+  iterations: 50000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/improvingadc_benchmark.yaml

@@ -0,0 +1,30 @@
+method_name: "improvingadc"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["barn", "caterpillar", "truck", "playground", "lighthouse", "train", "auditorium", "ballroom", "courtroom", "museum", "palace", "temple"]
+
+  - name: "Mip-NeRF 360 Indoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 2
+    scenes: ["bonsai", "counter", "kitchen", "room"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["bicycle", "flowers", "garden", "stump", "treehill"]
+
+  - name: "Synthetic NeRF"
+    base_path: "/root/autodl-tmp/dataset/Synthetic_NeRF_Verified/Synthetic_NeRF"
+    resolution: 1
+    scenes: ["Chair", "Drums", "Ficus", "Hotdog", "Lego", "Materials", "Mic", "Ship"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["Playroom", "DrJohnson"]

configs/lapisgs_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: lapisgs
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/lightgaussian_benchmark.yaml

@@ -0,0 +1,14 @@
+method_name: lightgaussian
+global_settings:
+  iterations: 30000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/lod_gs_benchmark.yaml

@@ -0,0 +1,15 @@
+method_name: lod_gs
+global_settings:
+  iterations: 30000
+  cap_gaussians: 1500000
+  seeds:
+  - 0
+datasets:
+- name: Tanks_and_Temples
+  base_path: /root/autodl-tmp/dataset/tnt
+  resolution: 2
+  scenes:
+  - church
+  - courthouse
+  - ignatius
+  - meetingroom

configs/lp3dgs_benchmark.yaml

@@ -0,0 +1,20 @@
+method_name: "lp3dgs"
+global_settings:
+  iterations: 30000
+  seeds: [0]
+
+datasets:
+  - name: "Tanks and Temples"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    resolution: 2
+    scenes: ["truck"]
+
+  - name: "Mip-NeRF 360 Outdoor"
+    base_path: "/root/autodl-tmp/dataset/360"
+    resolution: 4
+    scenes: ["garden"]
+
+  - name: "Deep Blending"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    resolution: 1
+    scenes: ["DrJohnson"]

configs/mass_production.yaml

@@ -0,0 +1,42 @@
+global:
+  iterations: 30000
+  seeds: [0] # 现阶段先跑 Seed 0 快速拿到全局结论
+
+tasks:
+  # 1. Deep Blending 室内场景先测 (只取最经典的 2 个)
+  - method: "tamgs"
+    base_path: "/root/autodl-tmp/dataset/deepblending_clean"
+    scenes: 
+      - "Playroom"
+      - "DrJohnson"
+
+  # 2. Mip-NeRF 360 无界室外场景 (9 个)
+  - method: "tamgs"
+    base_path: "/root/autodl-tmp/dataset/360"
+    scenes: 
+      - "bicycle"
+      - "bonsai"
+      - "counter"
+      - "flowers"
+      - "garden"
+      - "kitchen"
+      - "room"
+      - "stump"
+      - "treehill"
+
+  # 3. Tanks and Temples 大尺度场景 (12 个 NerfBaselines 钦点场景)
+  - method: "tamgs"
+    base_path: "/root/autodl-tmp/dataset/tnt"
+    scenes:
+      - "barn"
+      - "caterpillar"
+      - "truck"
+      - "playground"
+      - "lighthouse"
+      - "train"
+      - "auditorium"
+      - "ballroom"
+      - "courtroom"
+      - "museum"
+      - "palace"
+      - "temple"

configs/matrix_cat1_cat5.yaml

@@ -0,0 +1,16 @@
+global_settings:
+  iterations: 30000
+  save_iterations: [7000, 30000]
+
+tasks:
+  - method: "vanilla_3dgs"
+    scene: "cat1_shiny_toaster"
+    source_path: "/root/autodl-tmp/dataset/degradations/shiny/toaster"
+
+  - method: "tamgs"
+    scene: "cat1_shiny_toaster"
+    source_path: "/root/autodl-tmp/dataset/degradations/shiny/toaster"
+
+  - method: "vanilla_3dgs"
+    scene: "cat4_sparse_3views"
+    source_path: "/root/autodl-tmp/dataset/degradations/sparse/bonsai_3v"