DL-Structure

Blogs from Renjie Liao's Lab


A Unified Framework for Diffusion Distillation

The explosive growth in one-step and few-step diffusion models has taken the field deep into the weeds of complex notations. In this blog, we cut through the confusion by proposing a coherent set of notations that reveal the connections among these methods.

21 min read   ·   2025

On the Permutation Invariance of Graph Generative Models

This blog post discusses the permutation invariance principle of graph generative models, which has often been taken for granted in graph-related tasks. While permutation symmetry is an elegant property of graph data, there is still more to learn about its empirical implications.

20 min read   ·   2025

Conditional Generative Models for Motion Prediction

In this blog post, we discuss good engineering practices and the lessons learned—sometimes the hard way—from building conditional generative models (in particular, flow matching) for motion prediction problems.

12 min read   ·   2025

Evaluating Motion Consistency by Fréchet Video Motion Distance (FVMD)

In this blog post, we introduce a promising new metric for video generative models, Fréchet Video Motion Distance (FVMD), which focuses on the motion consistency of generated videos.

20 min read   ·   2024

Flow Matching (Part 1)

This is the beginning in a series of blog posts about flow matching and its generalizations. We start by covering normalizing flows, the foundation for flow matching methods.

21 min read   ·   2024

Flow-based Models and Flow Matching

An introduction to flow matching.

60 min read   ·   2024

Flow Matching (Part 2)

This is part two in a series of blog posts about flow matching. In this post, we dig deep into continuous normalizing flows as they form the basis for flow matching methods. We discuss the benefits but also the drawbacks of continuous normalizing flows.

15 min read   ·   2024