xLeaF Lab
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- awesome-alignment-of-diffusion-models Public
The collection of awesome papers on alignment of diffusion models.
- Golden-Noise-for-Diffusion-Models Public
[ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework".
- multiphysics-bench Public
We propose the first Multiphysics Bench for benchmarking and investigating Scientific Machine Learning for solving multiphysics PDEs.
- flow-inference-enhancement Public
We propose a novel training-free inference enhancement method for flow-based diffusion models.
- Weak-to-Strong-Diffusion-with-Reflection Public
The official code of "Weak-to-Strong Diffusion with Reflection".
- CoRe2 Public
The official implementation of our paper "CoRe^2: Collect, Reflect and Refine to Generate Better and Faster".
- Zigzag-Diffusion-Sampling Public
[ICLR2025] The code of Z-Sampling, proposed in our paper "Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection".
- IV-mixed-Sampler Public
[ICLR2025] IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
- Meissonic-Inference Public
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
- deep-learning-dynamics-paper-list Public
This is a list of peer-reviewed representative papers on deep learning dynamics (optimization dynamics of neural networks). The success of deep learning attributes to both network architecture and stochastic optimization. Thus, deep learning dynamics play an essentially important role in theoretical foundation of deep learning.
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