Tag
Introduces a framework combining flow-based generative editing with evolutionary algorithms to perform optimization in residual space, enabling controllable data editing with non-differentiable objectives. Validated on MorphoMNIST and crystal data.
WaveDiT is a conditional flow matching framework for full-resolution 3D brain MRI synthesis that operates in wavelet coefficient space, enabling efficient generation on standard GPUs without lossy latent compression. It achieves improved alignment with real MRI distributions and downstream tasks.