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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

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

arXiv 2024

2024

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

arXiv 2024

2024

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

arXiv 2024

2024

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

arXiv 2024

2024

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

arXiv 2023

2023

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

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

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

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

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

arXiv 2022

2022

Diffusion-GAN: Training GANs with Diffusion

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