PR-IQA creates geometrically consistent partial quality maps from reference overlaps and completes them via cross-attention to evaluate diffusion-synthesized views without ground truth, achieving full-reference accuracy and improving 3DGS reconstructions.
Active view selector: Fast and accurate active view selection with cross reference image quality assessment
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
DAV-GSWT uses diffusion priors and active view sampling to synthesize high-fidelity Gaussian Splatting Wang Tiles from minimal observations while preserving visual quality and tile transitions.
citing papers explorer
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PR-IQA: Partial-Reference Image Quality Assessment for Diffusion-Based Novel View Synthesis
PR-IQA creates geometrically consistent partial quality maps from reference overlaps and completes them via cross-attention to evaluate diffusion-synthesized views without ground truth, achieving full-reference accuracy and improving 3DGS reconstructions.
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DAV-GSWT: Diffusion-Active-View Sampling for Data-Efficient Gaussian Splatting Wang Tiles
DAV-GSWT uses diffusion priors and active view sampling to synthesize high-fidelity Gaussian Splatting Wang Tiles from minimal observations while preserving visual quality and tile transitions.