JWB-DH-V1: Benchmark for Joint Whole-Body Talking Avatar and Speech Generation Version 1
On the map: Diffusion models → Audio, speech and music
Abstract (arXiv)
Recent advances in diffusion-based video generation have enabled photo-realistic short clips, but current methods still struggle to achieve multi-modal consistency when jointly generating whole-body motion and natural speech. Current approaches lack comprehensive evaluation frameworks that assess both visual and audio quality, and there are insufficient benchmarks for region-specific performance analysis. To address these gaps, we introduce the Joint Whole-Body Talking Avatar and Speech Generation Version I(JWB-DH-V1), comprising a large-scale multi-modal dataset with 10,000 unique identities across 2 million video samples, and an evaluation protocol for assessing joint audio-video generation of whole-body animatable avatars. Our evaluation of SOTA models reveals consistent performance disparities between face/hand-centric and whole-body performance, which incidates essential areas for future research. The dataset and evaluation tools are publicly available at https://github.com/deepreasonings/WholeBodyBenchmark.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Audio, speech and music, one of 14 directions in Diffusion models. Builds on 31 of its 42 references that are in the map. First posted on arXiv 28 Jul 2025.
Builds on
31 of 42 references.
Closest ancestors · 5
Same direction, newest first
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- 2024Hallo2: Long-Duration and High-Resolution Audio-Driven Portrait Image Animation10 Oct
- 2024Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency4 Sep
Other references · 26
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- 2023VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generationcited by 74
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- 2025EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judgecited by 24
- 2022StyleTalker: One-shot Style-based Audio-driven Talking Head Video Generationcited by 14
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