3 citations · 5 across the 5 of their papers we have counts for
6 papers
GaussianHeadTalk: Wobble-Free 3D Talking Heads with Audio Driven Gaussian Splatting
Madhav Agarwal, Mingtian Zhang, Laura Sevilla-Lara +1
Speech-driven talking heads have recently emerged and enable interactive avatars. However, real-world applications are limited, as current methods achieve high visual fidelity but…
Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
Zijing Ou, Mingtian Zhang, Andi Zhang +3
The probabilistic diffusion model has become highly effective across various domains. Typically, sampling from a diffusion model involves using a denoising distribution characteriz…
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
Andi Zhang, Mingtian Zhang, Damon Wischik
We propose a probabilistic perspective on adversarial examples, allowing us to embed subjective understanding of semantics as a distribution into the process of generating adversar…
Out-of-Distribution Detection with Class Ratio Estimation
Mingtian Zhang, Andi Zhang, Tim Z. Xiao +2
Density-based Out-of-distribution (OOD) detection has recently been shown unreliable for the task of detecting OOD images. Various density ratio based approaches achieve good empir…
Spread Flows for Manifold Modelling
Mingtian Zhang, Yitong Sun, Chen Zhang +1
Flow-based models typically define a latent space with dimensionality identical to the observational space. In many problems, however, the data does not populate the full ambient d…
On the Out-of-distribution Generalization of Probabilistic Image Modelling
Mingtian Zhang, Andi Zhang, Steven McDonagh
Out-of-distribution (OOD) detection and lossless compression constitute two problems that can be solved by the training of probabilistic models on a first dataset with subsequent l…