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University of Texas at Austin
- http://huangjiezheng.com/
Highlights
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Stars
Score identity Distillation with Long and Short Guidance for One-Step Text-to-Image Generation
Pytorch implementation of LEGO-Diffusion: Learning stackable and skippable LEGO bricks for efficient, reconfigurable, and variable-resolution diffusion modeling
PyTorch code and model checkpoints for Score identity Distillation (SiD) published in ICML 2024
Official implementation for 'Class-Balancing Diffusion Models'
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version ongoing
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)
[ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy
Official implementation of "Composer: Creative and Controllable Image Synthesis with Composable Conditions"
This repo includes ChatGPT prompt curation to use ChatGPT better.
Official repo for consistency models.
High-Resolution Image Synthesis with Latent Diffusion Models
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
The source codes of 'Skeleton-parted graph scattering networks for 3D human motion prediction'. ECCV 2022
The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
Refine high-quality datasets and visual AI models
[ICLR2023] Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation (CDCD).
[ECCV 2022] Compositional Generation using Diffusion Models
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
Pytorch implementation of TDPM
Official repository for the paper "Instance-Conditioned GAN" by Arantxa Casanova, Marlene Careil, Jakob Verbeek, Michał Drożdżal, Adriana Romero-Soriano.
This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"
[ICML2022] Contrastive Learning with Boosted Memorization
[ICCV 2023] You Only Look at One Partial Sequence