AVBench is a benchmark for human-centric AV generation evaluation featuring ten fine-grained dimensions and preference-learned evaluators that output continuous probabilistic scores from binary decisions.
In: CVPR (2023)
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3representative citing papers
SCENT uses VLM-generated scene descriptions as a semantic bridge to align electronic-nose signals with visual and textual embeddings, improving cross-modal smell retrieval and enabling object-context odor disentanglement.
AVTok is a unified tokenizer that converts audio-video pairs into a compact 1D latent representation via dual-stream transformer and hierarchical training for improved reconstruction and cross-modal generation.
citing papers explorer
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AVBench: Human-Aligned and Automated Evaluation Benchmark for Audio-Video Generative Models
AVBench is a benchmark for human-centric AV generation evaluation featuring ten fine-grained dimensions and preference-learned evaluators that output continuous probabilistic scores from binary decisions.
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What Images Cannot Say: Language-Guided Olfactory Representation Learning
SCENT uses VLM-generated scene descriptions as a semantic bridge to align electronic-nose signals with visual and textual embeddings, improving cross-modal smell retrieval and enabling object-context odor disentanglement.
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AVTok: 1D Unified Tokenization for Holistic Audio-Video Generation
AVTok is a unified tokenizer that converts audio-video pairs into a compact 1D latent representation via dual-stream transformer and hierarchical training for improved reconstruction and cross-modal generation.