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3DGSI-Assessor reveals that traditional IQA metrics fail to capture critical distortions in 3D Gaussian Splatting, leading to a breakthrough in multi-dimensional quality assessment.
MIEScore aligns human preferences in multi-source image editing, outperforming existing benchmarks and setting a new standard for evaluation in this complex domain.
Rarity-aware sampling and spatial consistency techniques enable discrete diffusion to achieve high-quality image super-resolution with fewer decoding steps than traditional methods.
Forget retraining massive models: DPC-VQA shows you can adapt MLLMs to new video quality tasks with just a tiny calibration layer and a fraction of the data.
Forget small-scale image editing datasets – this work unleashes a million-scale human preference dataset that unlocks better reward models and boosts text-guided image editing performance.
