Author

H. Kjellström

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Preprint Oct 2026

Image Diffusion Models Are Good 3D Human Motion Generators

Text-to-motion generation typically relies on dataset-specific skeletal representations, with models trained separately for benchmarks with different joint layouts. We investigate whether image diffusion architectures can model 3D human motion through a common image-compatible representation that accommodates heterogen...

Si-Yuan Yang, Chong Wang, Hao Cheng et al. · 0 citations

Preprint Aug 2026

RA-ClipScore: Making Generative Model Evaluation More Interpretable

RA-CLIPScore provides more robust and interpretable evaluations than prior methods, particularly under distribution misalignment or partially irrelevant textual attributes, and aligns more closely with human perception of visual diversity than existing semantic metrics.

Yifan Lu, Taras Kucherenko, H. Kjellström et al. · 0 citations