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cs.CV2025
No MoCap Needed: Post-Training Motion Diffusion Models with Reinforcement Learning using Only Textual Prompts
Girolamo Macaluso, Lorenzo Mandelli, Mirko Bicchierai +2
Diffusion models have recently advanced human motion generation, producing realistic and diverse animations from textual prompts. However, adapting these models to unseen actions o…
cs.CV2025
3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
Evangelos Sariyanidi, Claudio Ferrari, Federico Nocentini +3
Computing the standard benchmark metric for 3D face reconstruction, namely geometric error, requires a number of steps, such as mesh cropping, rigid alignment, or point corresponde…