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Camera Pose Estimation on CO3D v2

97.31AUC@30FP16
81.065285.282689.593.7174Mar 14, 2025Jun 1, 2025Aug 19, 2025Nov 7, 2025Jan 25, 2026Apr 14, 2026Jul 3, 2026

Evaluation results

MethodLinks
FP16Bitwidth (W/A)=16/162026.0597.31—94.6284.6276.3—————
HeSS-Guided SparsificationSparse Ratio=0.1, CDF Thr.=0.97, Sparsity=0.08, Backbone=pi^32026.0397.28—————5.4822———
HeSS-Guided SparsificationSparse Ratio=0.3, CDF Thr.=0.97, Sparsity=0.11, Backbone=pi^32026.0397.26—————5.6254———
SparseVGGTSparse Ratio=0.1, CDF Thr.=0.97, Sparsity=0.08, Backbone=pi^32026.0397.22—————5.581———
HeSS-Guided SparsificationSparse Ratio=0.4, CDF Thr.=0.95, Sparsity=0.16, Backbone=pi^32026.0397.22—————5.7517———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.97, Sparsity=0.13, Backbone=pi^32026.0397.16—————5.6833———
SparseVGGTSparse Ratio=0.3, CDF Thr.=0.97, Sparsity=0.11, Backbone=pi^32026.0397.13—————5.7365———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.88, Sparsity=0.28, Backbone=pi^32026.0397.12—————6.0526———
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.97, Sparsity=0.13, Backbone=pi^32026.0397.09—————5.808———
HeSS-Guided SparsificationSparse Ratio=0.6, CDF Thr.=0.93, Sparsity=0.22, Backbone=pi^32026.0397.08—————5.9403———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.90, Sparsity=0.25, Backbone=pi^32026.0397.08—————5.9556———
SparseVGGTSparse Ratio=0.4, CDF Thr.=0.95, Sparsity=0.16, Backbone=pi^32026.0397.04—————5.9064———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.75, Sparsity=0.42, Backbone=pi^32026.0397.01—————6.4302———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.80, Sparsity=0.37, Backbone=pi^32026.0397—————6.2508———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.85, Sparsity=0.32, Backbone=pi^32026.0396.99—————6.1476———
HeSS-Guided SparsificationSparse Ratio=0.5, CDF Thr.=0.70, Sparsity=0.46, Backbone=pi^32026.0396.9—————6.5217———
SparseVGGTSparse Ratio=0.6, CDF Thr.=0.93, Sparsity=0.22, Backbone=pi^32026.0396.88—————6.167———
FGQBitwidth (W/A)=4/82026.0596.86—93.7181.8572.3—————
QuantVGGTBitwidth (W/A)=4/82026.0596.84—93.6381.2771.17—————
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.90, Sparsity=0.25, Backbone=pi^32026.0396.83—————6.2365———
FlatQuantBitwidth (W/A)=4/82026.0596.74—93.5180.5171.91—————
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.88, Sparsity=0.28, Backbone=pi^32026.0396.73—————6.424———
QuaRotBitwidth (W/A)=4/82026.0596.72—93.4380.9870.32—————
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.85, Sparsity=0.32, Backbone=pi^32026.0396.69—————6.5726———
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.80, Sparsity=0.37, Backbone=pi^32026.0396.52—————6.856———
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.75, Sparsity=0.42, Backbone=pi^32026.0396.46—————7.0518———
HeSS-Guided SparsificationSparse Ratio=0.6, CDF Thr.=0.60, Sparsity=0.56, Backbone=pi^32026.0396.35—————7.3988———
HeSS-Guided SparsificationSparse Ratio=0.7, CDF Thr.=0.70, Sparsity=0.51, Backbone=pi^32026.0396.31—————7.4775———
SparseVGGTSparse Ratio=0.5, CDF Thr.=0.70, Sparsity=0.46, Backbone=pi^32026.0396.27—————7.3248———
HeSS-Guided SparsificationSparse Ratio=0.6, CDF Thr.=0.40, Sparsity=0.60, Backbone=pi^32026.0396.27—————7.5568———
RTNBitwidth (W/A)=4/82026.0596.19—92.3878.2266.91—————
SparseVGGTSparse Ratio=0.7, CDF Thr.=0.70, Sparsity=0.51, Backbone=pi^32026.0396.08—————7.6261———
SparseVGGTSparse Ratio=0.6, CDF Thr.=0.60, Sparsity=0.56, Backbone=pi^32026.0395.96—————7.9918———
SparseVGGTSparse Ratio=0.6, CDF Thr.=0.40, Sparsity=0.60, Backbone=pi^32026.0395.73—————8.3667———
HeSS-Guided SparsificationSparse Ratio=0.8, CDF Thr.=0.50, Sparsity=0.69, Backbone=pi^32026.0395.05—————9.2602———
SparseVGGTSparse Ratio=0.8, CDF Thr.=0.50, Sparsity=0.69, Backbone=pi^32026.0394.95—————9.5964———
SparseVGGTSparse Ratio=0.8, CDF Thr.=0.40, Sparsity=0.75, Backbone=pi^32026.0394.58—————10.1408———
HeSS-Guided SparsificationSparse Ratio=0.8, CDF Thr.=0.40, Sparsity=0.75, Backbone=pi^32026.0394.55—————9.4527———
FP16Bitwidth (W/A)=16/162026.0594.41—88.8268.1151.4—————
FGQBitwidth (W/A)=4/42026.0594.25—88.8770.2555.75—————
FGQBitwidth (W/A)=4/42026.0593.94—87.9567.1150.32—————
QuantVGGTBitwidth (W/A)=4/42026.0593.87—88.469.7354.19—————
FlatQuantBitwidth (W/A)=4/42026.0592.95—86.4864.0546.91—————
TAPTQBit-Width=W8A82026.0292.52—86.269.3357.23—————
GPTQBit-Width=W8A82026.0292.25—86.0869.0756.86—————
PTQ4ViTBit-Width=W8A82026.0292.2—85.9268.7756.35—————
VGGTHardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames, Optimization method (e.g., Bundle Adjustment)=Bundle Adjustment (BA)2025.0391.81.8————————
FlatQuantBitwidth (W/A)=4/42026.0591.19—82.450.2226.86—————
π³Attention=Full2026.0790.91———60.83—————
π³ + BABundle Adjustment=true2026.0590.7———58.4——80.3——
DA3Attention=Full2026.0790.58———53.28—————
HD-VGGT2026.0390.4——————86.5——
GLUEMAP2026.0590.4———56.7——79.9——
VGGTAttention=Full2026.0790.34———58.26—————
ERQBit-Width=W8A82026.0290.14—81.9355.9639.06—————
SAF3RAttention=Sparse, Base Architecture=π³2026.0790.14———53.98—————
VGGTInference Complexity=O(N^2)2026.0389.99—83.9567.84——————
RTNBit-Width=W8A82026.0289.98—81.959.1443.8—————
SAF3RAttention=Sparse, Base Architecture=DA32026.0789.73———50.42—————
VGGTFLOPs (T)=5.842025.0989.5—83.266.154.9—————
π³2026.0589.5———47.3——76.6——
GLUEMAP†Global motion averaging=true2026.0589.5———47.4——76.8——
BaselineW/A=FP162026.0589.50.38————————
QuantVGGTW/A=W8A82026.0589.4—————————
QVGGTW/A=W4A162026.0589.40.23————————
Aπ³Attention=Sparse2026.0789.27———50.69—————
QuantVGGTW/A=W4A162026.0589.2—————————
SAF3RAttention=Sparse, Base Architecture=VGGT2026.0789.19———52.68—————
ZipMapInference Complexity=O(N)2026.0388.76—81.6462.46——————
VGGTHardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames, Runtime mode (e.g., Feed-Forward)=Feed-Forward2025.0388.20.2————————
VGGT2026.0388.2——————83.3——
π^3Inference Complexity=O(N^2)2026.0387.93—79.8657.12——————
VGGTInput Setting=Streaming, Variant=Windowed2026.0587.92—81.3164.43——————
SmoothQuantW/A=W8A82026.0587.90.62————————
AVGGTAttention=Sparse2026.0787.78———47.1—————
Fastπ³Attention=Sparse2026.0787.56———40.49—————
FastDA3Attention=Sparse2026.0787.31———43.42—————
QuantVGGTFLOPs (T)=1.402025.0986.9—78.757.343.6—————
VGGT2025.1286.3—76.8——81.4————
VGGT2026.0486.23———————1.14320.0285
Co-MeAttention=Sparse2026.0786.15———40.02—————
Mamba-VGGTInput Setting=Streaming2026.0585.44—82.0258.87——————
REPQBit-Width=W8A82026.0285.24—73.7343.7928.27—————
FastVGGTAttention=Sparse2026.0784.84———34.73—————
ADA3Attention=Sparse2026.0784.44———39.72—————
VGGSfM v2Hardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames, Optimization method=Bundle Adjustment2025.0383.410————————
FastVGGT2025.1283.4—71.9——77.6————
FLAREHardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames, Concurrent work=true2025.0383.30.5————————
LiteVGGT2025.1283.2—71.9——77.3————
ZipMapmode=streaming2026.0383.12—72.5845.38——————
ZipMapInput Setting=Streaming, Variant=Stream2026.0583.12—72.5845.38——————
SparseVGGTAttention=Sparse2026.0782.83———18.59—————
CUT3RHardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames, Concurrent work=true2025.0382.80.6————————
FastVGGTFLOPs (T)=1.682025.0982.7—71.339.225.1—————
Fast3RHardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames, Concurrent work=true2025.0382.50.2————————
CUT3R2025.1282.5—73.8——77.3————
Sparseπ³Attention=Sparse2026.0782.14———15.14—————
MASt3RHardware (H100 GPU)=one H100 GPU, Number of input frames (10 frames)=10 random frames2025.0381.89————————
MASt3R2026.0381.8——————78.2——
QuaRotBitwidth (W/A)=4/42026.0581.69—64.7122.529.04—————