EmoVerse is a large open-source dataset enabling interpretable visual emotion analysis via B-A-S triplets, region grounding, and unified CES/DES representations created through an MLLM-driven pipeline.
Imagenet large scale visual recognition challenge.International journal of computer vision, 115(3):211–252
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RDVQ enables joint rate-distortion optimization for vector-quantized generative image compression via differentiable codebook distribution relaxation and an autoregressive entropy model.
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EmoVerse: A MLLMs-Driven Emotion Representation Dataset for Interpretable Visual Emotion Analysis
EmoVerse is a large open-source dataset enabling interpretable visual emotion analysis via B-A-S triplets, region grounding, and unified CES/DES representations created through an MLLM-driven pipeline.
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Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression
RDVQ enables joint rate-distortion optimization for vector-quantized generative image compression via differentiable codebook distribution relaxation and an autoregressive entropy model.