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Mingyuan Zhou

Papers
23

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23papers

Authored papers

23

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

arXiv 2025

2025

KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

arXiv 2025

2025

Few-Step Diffusion via Score identity Distillation

arXiv 2025

2025

NeuralRemaster: Phase-Preserving Diffusion for Structure-Aligned Generation

arXiv 2025

2025

Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model

arXiv 2025

2025

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

arXiv 2024

2024

Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts

arXiv 2024

2024

Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models

arXiv 2024

2024

A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

arXiv 2024

2024

Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling

arXiv 2024

2024

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond

arXiv 2023

2023

In-Context Learning Unlocked for Diffusion Models

in-context-learning-unlocked-for-diffusion

2023

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

CVPR 2023 1

2023

POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models

arXiv 2023

2023

Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling

arXiv 2023

2023

Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling

arXiv 2023

2023

Preference-grounded Token-level Guidance for Language Model Fine-tuning

preference-grounded-token-level-guidance-for

2023

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification

ICCV 2023 1

2023

Diffusion-GAN: Training GANs with Diffusion

arXiv 2022

2022

Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs

arXiv 2022

2022

Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning

arXiv 2021

2021

Contrastive Attraction and Contrastive Repulsion for Representation Learning

contrastive-attraction-and-contrastive

2021

Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions

act-asymptotic-conditional-transport

2020

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from 23 papers