Huangjie Zheng

Affiliations

Apple Machine Learning Research

papers

983

total citations

papers (15)

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

NEURIPS 2023arXiv

164

citations

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

ICML 2024arXiv

154

citations

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows

NEURIPS 2025arXiv

citations

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

ICLR 2025arXiv

citations

TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics

NEURIPS 2025arXiv

citations

Huangjie Zheng

Affiliations

papers (15)

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

CARD: Classification and Regression Diffusion Models

A Prototype-Oriented Framework for Unsupervised Domain Adaptation

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration

What If We Recaption Billions of Web Images with LLaMA-3?

Class-Balancing Diffusion Models

Normalizing Flows are Capable Generative Models

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

Beta Diffusion

Alignment Attention by Matching Key and Query Distributions

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics

papers (15)

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models

Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation

CARD: Classification and Regression Diffusion Models

A Prototype-Oriented Framework for Unsupervised Domain Adaptation

DR2: Diffusion-Based Robust Degradation Remover for Blind Face Restoration

What If We Recaption Billions of Web Images with LLaMA-3?

Class-Balancing Diffusion Models

Normalizing Flows are Capable Generative Models

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

Beta Diffusion

Alignment Attention by Matching Key and Query Distributions

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows

Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

TADA: Improved Diffusion Sampling with Training-free Augmented DynAmics