1 code implementation • 8 Feb 2023 • Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola
The new models reduce to PFGM when $D{=}1$ and to diffusion models when $D{\to}\infty$.
Ranked #1 on Image Generation on FFHQ 64x64 - 4x upscaling
1 code implementation • 1 Feb 2023 • Yilun Xu, Shangyuan Tong, Tommi Jaakkola
We show that the procedure indeed helps in the challenging intermediate regime by reducing (the trace of) the covariance of training targets.
Ranked #15 on Image Generation on CIFAR-10
1 code implementation • ICLR 2022 • Shangyuan Tong, Timur Garipov, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola
Furthermore, we show that our approach can be viewed as a limit of existing notions of alignment by increasing transportation assignment tolerance.
1 code implementation • 20 Feb 2020 • Shangyuan Tong, Timur Garipov, Tommi Jaakkola
We provide sufficient conditions for local convergence; characterize the capacity balance that should guide the discriminator and generator choices; and construct examples of minimally sufficient discriminators.