Generating Images with Sparse Representations

5 March 2021

Papers citing "Generating Images with Sparse Representations"

50 / 149 papers shown

Title
Metrics that matter: Evaluating image quality metrics for medical image generation Yash Deo Yan Jia T. Lassila William A. P. Smith T. Lawton Siyuan Kang Alejandro F. Frangi Ibrahim Habli 41 0 0 12 May 2025
Image Classification Using a Diffusion Model as a Pre-Training Model Kosuke Ukita Ye Xiaolong Tsuyoshi Okita DiffM MedIm VLM 37 0 0 11 May 2025
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition Zhiyuan Chen Keyi Li Yifan Jia Le Ye Yufei Ma DiffM 35 0 0 09 May 2025
No Other Representation Component Is Needed: Diffusion Transformers Can Provide Representation Guidance by Themselves D. Jiang Mengmeng Wang Liuzhuozheng Li Lei Zhang Haoyu Wang Wei Wei Guang Dai Yanning Zhang Jingdong Wang DiffM 51 0 0 05 May 2025
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining Weizhen He Yunfeng Yan Shixiang Tang Yiheng Deng Yangyang Zhong Pengxin Luo Donglian Qi VLM 94 1 0 29 Apr 2025
Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DiffM 38 0 0 22 Apr 2025
Efficient Generative Model Training via Embedded Representation Warmup Deyuan Liu Peng Sun Xufeng Li Tao Lin 33 0 0 14 Apr 2025
REPA-E: Unlocking VAE for End-to-End Tuning with Latent Diffusion Transformers Xingjian Leng Jaskirat Singh Yunzhong Hou Zhenchang Xing Saining Xie Liang Zheng 39 0 0 14 Apr 2025
PixelFlow: Pixel-Space Generative Models with Flow Shoufa Chen Chongjian Ge Shilong Zhang Peize Sun Ping Luo VLM DRL 37 0 0 10 Apr 2025
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation Wangbo Zhao Yizeng Han Jiasheng Tang Kai Wang Hao Luo Yibing Song Gao Huang Fan Wang Yang You 71 0 0 09 Apr 2025
MMGen: Unified Multi-modal Image Generation and Understanding in One Go Jiepeng Wang Zhaoqing Wang H. Pan Yuan Liu Dongdong Yu Changhu Wang Wenping Wang DiffM 80 0 0 26 Mar 2025
Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings Cong Liu Liang Hou Mingwu Zheng Xin Tao Pengfei Wan Di Zhang Kun Gai 49 0 0 24 Mar 2025
Flow to the Mode: Mode-Seeking Diffusion Autoencoders for State-of-the-Art Image Tokenization Kyle Sargent Kyle Hsu Justin Johnson L. Fei-Fei Jiajun Wu DiffM MU 55 3 0 14 Mar 2025
SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models Hesen Chen Junyan Wang Zhiyu Tan Hao Li 58 0 0 11 Mar 2025
Post-Training Quantization for Diffusion Transformer via Hierarchical Timestep Grouping Ning Ding Jing Han Yuchuan Tian Chao Xu Kai Han Yehui Tang MQ 44 0 0 10 Mar 2025
LEDiT: Your Length-Extrapolatable Diffusion Transformer without Positional Encoding Shen Zhang Yaning Tan Siyuan Liang Zhaowei Chen Linze Li ... Shuheng Li Zhenyu Zhao Caihua Chen Jiajun Liang Yao Tang 51 0 0 06 Mar 2025
Q&C: When Quantization Meets Cache in Efficient Image Generation Xin Ding X. Li Haotong Qin Zhibo Chen DiffM MQ 75 0 0 04 Mar 2025
Tera-MIND: Tera-scale mouse brain simulation via spatial mRNA-guided diffusion Jiqing Wu Ingrid Berg Yawei Li Ender Konukoglu V. Koelzer AI4CE 64 0 0 03 Mar 2025
Diffusion Models without Classifier-free Guidance Zhicong Tang Jianmin Bao Dong Chen Baining Guo VLM 60 2 0 17 Feb 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 78 5 0 17 Feb 2025
Parallel Sequence Modeling via Generalized Spatial Propagation Network Hongjun Wang Wonmin Byeon Jiarui Xu Liang Feng Ka Chun Cheung Xiaolong Wang Kai Han Jan Kautz Sifei Liu 152 0 0 21 Jan 2025
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 DiffM MQ 80 5 0 16 Dec 2024
Autoregressive Models in Vision: A Survey Jing Xiong Gongye Liu Lun Huang Chengyue Wu Taiqiang Wu ... M. Zhang Guillermo Sapiro Jiebo Luo Ping Luo Ngai Wong VGen 48 9 0 08 Nov 2024
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching Xinwang Chen Ning Liu Bo Li Feifei Feng Jian Tang 42 2 0 31 Oct 2024
FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution Shuai Wang Zexian Li Tianhui Song Xubin Li Tiezheng Ge Bo Zheng L. Wang 32 1 0 30 Oct 2024
Embedding Watermarks in Diffusion Process for Model Intellectual Property Protection Jijia Yang Sen Peng Xiaohua Jia WIGM 39 0 0 29 Oct 2024
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference Changwoo Lee Soo Min Kwon Qing Qu Hun-Seok Kim 27 0 0 28 Oct 2024
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model ZiDong Wang Zeyu Lu Di Huang Cai Zhou Wanli Ouyang and Lei Bai 76 3 0 17 Oct 2024
MoH: Multi-Head Attention as Mixture-of-Head Attention Peng Jin Bo Zhu Li Yuan Shuicheng Yan MoE 31 13 0 15 Oct 2024
Diffusion Models Need Visual Priors for Image Generation Xiaoyu Yue Zidong Wang Zeyu Lu S. Sun Meng Wei Wanli Ouyang Junlin Wu Luping Zhou VLM 53 1 0 11 Oct 2024
Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think Sihyun Yu Sangkyung Kwak Huiwon Jang Jongheon Jeong Jonathan Huang Jinwoo Shin Saining Xie OCL 73 64 0 09 Oct 2024
Dynamic Diffusion Transformer Wangbo Zhao Yizeng Han Jiasheng Tang Kai Wang Yibing Song Gao Huang Fan Wang Yang You 77 12 0 04 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation Debargha Ganguly Warren Morningstar A. Yu Vipin Chaudhary OODD 44 0 0 02 Oct 2024
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models Yucheng Xie Fu Feng Ruixiao Shi Jing Wang Xin Geng AI4CE 36 2 0 28 Sep 2024
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang Miao Zhang Yuzhang Shang Jianlong Wu Yan Yan Liqiang Nie DiffM 63 10 0 05 Sep 2024
Compress Guidance in Conditional Diffusion Sampling Anh-Dung Dinh Daochang Liu Chang Xu 22 0 0 20 Aug 2024
KIND: Knowledge Integration and Diversion in Diffusion Models Yucheng Xie Fu Feng Jing Wang Xin Geng Yong Rui VLM 36 3 0 14 Aug 2024
Low-Bitwidth Floating Point Quantization for Efficient High-Quality Diffusion Models Cheng Chen Christina Giannoula Andreas Moshovos DiffM MQ 24 0 0 13 Aug 2024
LaMamba-Diff: Linear-Time High-Fidelity Diffusion Models Based on Local Attention and Mamba Yunxiang Fu Chaoqi Chen Yizhou Yu Mamba 68 3 0 05 Aug 2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations Jiageng Zhu Hanchen Xie Jiazhi Li Wael Abd-Almageed DiffM 48 1 0 30 Jul 2024
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving Jiahang Tu Wei Ji Han Zhao Chao Zhang Roger Zimmermann Hui Qian 38 5 0 22 Jul 2024
Scaling Diffusion Transformers to 16 Billion Parameters Zhengcong Fei Mingyuan Fan Changqian Yu Debang Li Junshi Huang DiffM MoE 57 16 0 16 Jul 2024
Self-Guided Generation of Minority Samples Using Diffusion Models Soobin Um Jong Chul Ye DiffM 34 4 0 16 Jul 2024
Deep learning for automated detection of breast cancer in deep ultraviolet fluorescence images with diffusion probabilistic model Sepehr Salem Ghahfarokhi Tyrell To Julie M Jorns T. Yen Bing Yu Dong Hye Ye DiffM MedIm 18 2 0 01 Jul 2024
Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma Liangliang Zhao Biqing Qi Bowen Zhou DiffM 64 2 0 19 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation Peize Sun Yi Jiang Shoufa Chen Shilong Zhang Bingyue Peng Ping Luo Zehuan Yuan VLM 66 227 0 10 Jun 2024
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis Juanhua Zhang Ruodan Yan Alessandro Perelli Xi Chen Chao Li MedIm DiffM 56 5 0 05 Jun 2024
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching Xinyin Ma Gongfan Fang Michael Bi Mi Xinchao Wang 58 30 0 03 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen Yujin Han Diganta Misra Xiang Li Kai Hu Difan Zou Masashi Sugiyama Jindong Wang Bhiksha Raj DiffM 47 5 0 30 May 2024
Wavelet-Based Image Tokenizer for Vision Transformers Zhenhai Zhu Radu Soricut ViT 50 3 0 28 May 2024