ORAV Bench contains 380 generation tasks, each supplying between 2 and 10 image, video or audio references.
Benchmark exposes distinct weaknesses in multimodal audio-video generation systems
ORAV Bench tests whether models can selectively combine identities, motion, scenes, speech and other properties from multiple references.
Chinese Tech
Jiacheng Hua · Xiaokun Feng · Jiaqi Hua · Chang Liu · Biao Wang · Miao Liu
Tsinghua University · Tencent Hy
Research Digest··3 min read
The authors introduce ORAV Bench, a benchmark for generating audio and video from several heterogeneous references linked by a textual instruction.
Why this paper
From Tencent Hy and Tsinghua University
In one line
ORAV is a benchmark for audio-video generation from multimodal contexts that reveals distinct model strengths and failures.
What we could check
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