"diffusion models" Papers
1,011 papers found • Page 9 of 21
Conference
PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution
Yong Liu, Hang Dong, Jinshan Pan et al.
PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-wise Video Super-Resolution
Shian Du, Menghan Xia, Chang Liu et al.
PathDiff: Histopathology Image Synthesis with Unpaired Text and Mask Conditions
Mahesh Bhosale, Abdul Wasi, Yuanhao Zhai et al.
Penalizing Boundary Activation for Object Completeness in Diffusion Models
Haoyang Xu, Tianhao Zhao, Sibei Yang et al.
Personalized Preference Fine-tuning of Diffusion Models
Meihua Dang, Anikait Singh, Linqi Zhou et al.
Personalized Representation from Personalized Generation
Shobhita Sundaram, Julia Chae, Yonglong Tian et al.
Personalized Visual Content Generation in Conversational Systems
Xianquan Wang, Zhaocheng Du, Huibo Xu et al.
Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency
Yuxin CHENG, Binxiao Huang, Taiqiang Wu et al.
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
Tae-Young Lee, Juwon Seo, Jong Hwan Ko et al.
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores
Guangyi Wang, Yuren Cai, lijiang Li et al.
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Chen Wang, Chuhao Chen, Yiming Huang et al.
PhysDiff: A Physically-Guided Diffusion Model for Multivariate Time Series Anomaly Detection
Long Li, Wanghu Chen, Wencheng Zhang et al.
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
Physics-Informed Diffusion Models
Jan-Hendrik Bastek, WaiChing Sun, Dennis Kochmann
PICD: Versatile Perceptual Image Compression with Diffusion Rendering
Tongda Xu, Jiahao Li, Bin Li et al.
PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups
Sakuya Ota, Qing Yu, Kent Fujiwara et al.
Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning
Maosen Zhao, Pengtao Chen, Chong Yu et al.
Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Chun-Yen Shih, Li-Xuan Peng, Jia-Wei Liao et al.
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach
Lingchen Sun, Rongyuan Wu, Zhiyuan Ma et al.
PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation
Liyao Jiang, Negar Hassanpour, Mohammad Salameh et al.
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
Kwanyoung Kim, Byeongsu Sim
PoGDiff: Product-of-Gaussians Diffusion Models for Imbalanced Text-to-Image Generation
Ziyan Wang, Sizhe Wei, Xiaoming Huo et al.
Point-MaDi: Masked Autoencoding with Diffusion for Point Cloud Pre-training
Xiaoyang Xiao, Runzhao Yao, Zhiqiang Tian et al.
PolarAnything: Diffusion-based Polarimetric Image Synthesis
Kailong Zhang, Youwei Lyu, Heng Guo et al.
PolarFree: Polarization-based Reflection-Free Imaging
Mingde Yao, Menglu Wang, King Man Tam et al.
Population Aware Diffusion for Time Series Generation
Yang Li, Han Meng, Zhenyu Bi et al.
POSTA: A Go-to Framework for Customized Artistic Poster Generation
Haoyu Chen, Xiaojie Xu, Wenbo Li et al.
PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing
Feng Tian, Yixuan Li, Yichao Yan et al.
Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
Yuan Wang, Ouxiang Li, Tingting Mu et al.
Precise Parameter Localization for Textual Generation in Diffusion Models
Łukasz Staniszewski, Bartosz Cywiński, Franziska Boenisch et al.
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel, Francesco Ramunno, Jeff Shen et al.
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
Prior Knowledge Guided Neural Architecture Generation
Jingrong Xie, Han Ji, Yanan Sun
Progressive Compositionality in Text-to-Image Generative Models
Xu Han, Linghao Jin, Xiaofeng Liu et al.
Progressive Compression with Universally Quantized Diffusion Models
Yibo Yang, Justus Will, Stephan Mandt
Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images
Yasamin Medghalchi, Moein Heidari, Clayton Allard et al.
Proper Hölder-Kullback Dirichlet Diffusion: A Framework for High Dimensional Generative Modeling
Wanpeng Zhang, Yuhao Fang, Xihang Qiu et al.
QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
Yehui Tang, Mabiao Long, Junchi Yan
RAD: Region-Aware Diffusion Models for Image Inpainting
Sora Kim, Sungho Suh, Minsik Lee
Ranking-based Preference Optimization for Diffusion Models from Implicit User Feedback
Yi-Lun Wu, Bo-Kai Ruan, Chiang Tseng et al.
RB-Modulation: Training-Free Stylization using Reference-Based Modulation
Litu Rout, Yujia Chen, Nataniel Ruiz et al.
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images
Benzhi Wang, Jingkai Zhou, Jingqi Bai et al.
Reangle-A-Video: 4D Video Generation as Video-to-Video Translation
Hyeonho Jeong, Suhyeon Lee, Jong Ye
ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
Haowei Zhu, Tianxiang Pan, Rui Qin et al.
Reconstructing Close Human Interaction with Appearance and Proxemics Reasoning
Buzhen Huang, Chen Li, Chongyang Xu et al.
Reconstruct, Inpaint, Test-Time Finetune: Dynamic Novel-view Synthesis from Monocular Videos
Kaihua Chen, Tarasha Khurana, Deva Ramanan
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
Fu-Yun Wang, Ling Yang, Zhaoyang Huang et al.
REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents
Rui Tian, Qi Dai, Jianmin Bao et al.
RelitLRM: Generative Relightable Radiance for Large Reconstruction Models
Tianyuan Zhang, Zhengfei Kuang, Haian Jin et al.
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi et al.