videoasmrbench/Video_Reality_Test
VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? This repository serves as a benchmark for evaluating the realism of video generation models. It specifically focuses on ASMR content, which requires high fidelity in texture rendering, micro-movements, and audio-visual synchronization. Benchmark Structure This benchmark is divided into two difficulty levels. All data is provided in the test split to reflect its purpose for evaluation: real_hard: 100… See the full description on the dataset page: https://huggingface.co/datasets/videoasmrbench/Video_Reality_Test.
| Author / organization | videoasmrbench |
|---|---|
| License (as declared) | mit |
| Downloads | 135 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 May 2026 |
| Last updated at source | 7 May 2026 |
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- 17 Oct 2026 Description: VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? This repository serves as a benchmark for evaluating the realism of video generation models. It specifically focuses on ASMR content, which requires high fidelity in textur → VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? This repository serves as a benchmark for evaluating the realism of video generation models. It specifically focuses on ASMR content, which requires high fidelity in textur
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