图像生成

Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation

Shengyuan Zhang, Ling Yang, Zejian Li, An Zhao, Chenye Meng, Changyuan Yang, Guang Yang, Zhiyuan Yang, Lingyun Sun

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments Our code is publicly available on https://github.com/SYZhang0805/DisBack

Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion

An Zhao, Shengyuan Zhang, Ling Yang, Zejian Li, Jiale Wu, Haoran Xu, AnYang Wei, Perry Pengyun GU, Lingyun Sun

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments Our code is public available on https://github.com/happyw1nd/DistillationDPO

Generative Dataset Distillation using Min-Max Diffusion Model

Junqiao Fan, Yunjiao Zhou, Min Chang Jordan Ren, Jianfei Yang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments The paper is accepted as the ECCV2024 workshop paper and achieved second place in the generative track of The First Dataset Distillation Challenge of ECCV2024, https://www.dd-challenge.com/#/

Journal ref ECCV 2024 Workshop Paper

Data-free Knowledge Distillation with Diffusion Models

Xiaohua Qi, Renda Li, Long Peng, Qiang Ling, Jun Yu, Ziyi Chen, Peng Chang, Mei Han, Jing Xiao

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments Accepted by ICME2025

TD-BFR: Truncated Diffusion Model for Efficient Blind Face Restoration

Ziying Zhang, Xiang Gao, Zhixin Wang, Qiang hu, Xiaoyun Zhang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments Accepted by ICME 2025

RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories

Huiyang Shao, Xin Xia, Yuhong Yang, Yuxi Ren, Xing Wang, Xuefeng Xiao

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments 23 pages, 5 figures, CVPR 2025

Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction

Ziyao Guo, Kaipeng Zhang, Michael Qizhe Shieh

专题命中 效率与蒸馏 ：image generation(title,abstract)；分类 cs.CV

Comments Work in progress

Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Kai Qiu, Xiang Li, Jason Kuen, Hao Chen, Xiaohao Xu, Jiuxiang Gu, Yinyi Luo, Bhiksha Raj, Zhe Lin, Marios Savvides

专题命中 效率与蒸馏 ：image generation(title,abstract)；分类 cs.CV

Comments 17 pages, 13 figures, 6 tables

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models

Reza Shirkavand, Peiran Yu, Shangqian Gao, Gowthami Somepalli, Tom Goldstein, Heng Huang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments CVPR 2025

QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-Resolution

Libo Zhu, Haotong Qin, Kaicheng Yang, Wenbo Li, Yong Guo, Yulun Zhang, Susanto Rahardja, Xiaokang Yang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Designing Parameter and Compute Efficient Diffusion Transformers using Distillation

Vignesh Sundaresha

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments 4 pages

Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Hangliang Ding, Dacheng Li, Runlong Su, Peiyuan Zhang, Zhijie Deng, Ion Stoica, Hao Zhang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation

Jianze Li, Jiezhang Cao, Yong Guo, Wenbo Li, Yulun Zhang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

BiMaCoSR: Binary One-Step Diffusion Model Leveraging Flexible Matrix Compression for Real Super-Resolution

Kai Liu, Kaicheng Yang, Zheng Chen, Zhiteng Li, Yong Guo, Wenbo Li, Linghe Kong, Yulun Zhang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments 10 pages, 5 figures. The code and models will be available at https://github.com/Kai-Liu001/BiMaCoSR

High-Order Matching for One-Step Shortcut Diffusion Models

Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models

Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments ICLR 2025

AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation

Rui Xie, Chen Zhao, Kai Zhang, Zhenyu Zhang, Jun Zhou, Jian Yang, Ying Tai

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models

Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments Accepted by AAAI 2025

PassionSR: Post-Training Quantization with Adaptive Scale in One-Step Diffusion based Image Super-Resolution

Libo Zhu, Jianze Li, Haotong Qin, Wenbo Li, Yulun Zhang, Yong Guo, Xiaokang Yang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments https://github.com/libozhu03/PassionSR

Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling

Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, Jaegul Choo

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments project page: https://junhahyung.github.io/STGuidance

PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution

Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Lean Fu, Fei Wang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Image Understanding Makes for A Good Tokenizer for Image Generation

Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu, Bingyi Kang

专题命中 效率与蒸馏 ：image generation(title,abstract)；分类 cs.CV

Comments Accepted by NeurIPS 2024

Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation

Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments NeurIPS 2024; project page: https://yhzhai.github.io/mcm/

Compress Guidance in Conditional Diffusion Sampling

Anh-Dung Dinh, Daochang Liu, Chang Xu

专题命中 效率与蒸馏 ：diffusion(title)；text-to-image(abstract)；分类 cs.CV

Comments 10 pages, 5 figures, Computer Vision and Machine Learning

Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation

Kathrin Khadra, Utku Türkbey

专题命中 效率与蒸馏 ：image generation(title)；diffusion(abstract)；分类 cs.CV

$\textit{Jump Your Steps}$: Optimizing Sampling Schedule of Discrete Diffusion Models

Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Yuki Mitsufuji

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

One-step Diffusion with Distribution Matching Distillation

Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Fredo Durand, William T. Freeman, Taesung Park

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments CVPR 2024, Project page: https://tianweiy.github.io/dmd/

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

Bayesian-Optimized One-Step Diffusion Model with Knowledge Distillation for Real-Time 3D Human Motion Prediction

Sibo Tian, Minghui Zheng, Xiao Liang

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

One Step Diffusion-based Super-Resolution with Time-Aware Distillation

Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV

Comments 18 pages

Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models

Cheng Chen, Christina Giannoula, Andreas Moshovos

专题命中 效率与蒸馏 ：diffusion(title,abstract)；分类 cs.CV