Tieru Wu

RealSkin bridges the gap between real-world images and synthetic 3D models by optimizing correspondences in a learned spectral domain, achieving unprecedented accuracy in attribute transfer.

Shrinking the entropic regularization parameter in Schrödinger Bridges unlocks a 3x speedup in visual navigation without sacrificing accuracy, finally making diffusion-based policies viable for real-time robotics.

Flow-matching VLAs can ditch 80% of their inference time *without* sacrificing performance, thanks to a clever self-distillation trick that compresses multi-step denoising into a single shot.