TASTE supplies designer multi-dimensional rankings of T2I graphic outputs with statistical validation showing moderate agreement and benchmarks where a TASTE-trained MLP outperforms off-the-shelf VLMs.
VBench: Comprehensive benchmark suite for video generative models
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Bernini is a framework that uses an MLLM planner to output semantic representations for a DiT renderer to generate or edit videos, reporting SOTA benchmark performance.
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TASTE: A Designer-Annotated Multi-Dimensional Preference Dataset for AI-Generated Graphic Design
TASTE supplies designer multi-dimensional rankings of T2I graphic outputs with statistical validation showing moderate agreement and benchmarks where a TASTE-trained MLP outperforms off-the-shelf VLMs.
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Bernini: Latent Semantic Planning for Video Diffusion
Bernini is a framework that uses an MLLM planner to output semantic representations for a DiT renderer to generate or edit videos, reporting SOTA benchmark performance.