2 papers
cs.LG2025
Riemannian Neural Geodesic Interpolant
Jiawen Wu, Bingguang Chen, Yuyi Zhou +3
Stochastic interpolants are efficient generative models that bridge two arbitrary probability density functions in finite time, enabling flexible generation from the source to the…
cs.CV2018
Replicating Active Appearance Model by Generator Network
Tian Han, Jiawen Wu, Ying Nian Wu
A recent Cell paper [Chang and Tsao, 2017] reports an interesting discovery. For the face stimuli generated by a pre-trained active appearance model (AAM), the responses of neurons…