Ablation studies identify data scaling, loss function choices, and alignment strategies as key to better feed-forward visual geometry estimation, yielding the CARVE model with strong benchmark results.
Diffcalib: Reformulating monocu- lar camera calibration as diffusion-based dense incident map generation
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Unlocking the Power of Critical Factors for 3D Visual Geometry Estimation
Ablation studies identify data scaling, loss function choices, and alignment strategies as key to better feed-forward visual geometry estimation, yielding the CARVE model with strong benchmark results.