MLLM Evaluation: Aesthetics
1 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in MLLM Evaluation: Aesthetics
EAPD
Most implemented papers
AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perception
yipoh/aesbench
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An obvious obstacle lies in the absence of a specific benchmark to evaluate the effectiveness of MLLMs on aesthetic perception.
