"diffusion models" Papers

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Point Cloud Pre-training with Diffusion Models

xiao zheng, Xiaoshui Huang, Guofeng Mei et al.

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

Jack Lu, Ryan Teehan, Mengye Ren

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

Prompt-Free Diffusion: Taking “Text” out of Text-to-Image Diffusion Models

Xingqian Xu, Jiayi Guo, Zhangyang Wang et al.

Prompt-guided Precise Audio Editing with Diffusion Models

Manjie Xu, Chenxing Li, Duzhen Zhang et al.

Prompting Future Driven Diffusion Model for Hand Motion Prediction

Bowen Tang, Kaihao Zhang, Wenhan Luo et al.

Protein Conformation Generation via Force-Guided SE(3) Diffusion Models

YAN WANG, Lihao Wang, Yuning Shen et al.

Pyramid Diffusion for Fine 3D Large Scene Generation

Yuheng Liu, Xinke Li, Xueting Li et al.

Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization

Li Ding, Jenny Zhang, Jeff Clune et al.

R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection

Zheyuan Zhou, Wang Le, Naiyu Fang et al.

RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection

Ximiao Zhang, Min Xu, Xiuzhuang Zhou

RecDiffusion: Rectangling for Image Stitching with Diffusion Models

Tianhao Zhou, Li Haipeng, Ziyi Wang et al.

ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation

Nantian He, Shaohui Li, Zhi Li et al.

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation

Debaditya Shome, Pritam Sarkar, Ali Etemad

RegionDrag: Fast Region-Based Image Editing with Diffusion Models

Jingyi Lu, Xinghui Li, Kai Han

ReGround: Improving Textual and Spatial Grounding at No Cost

Phillip (Yuseung) Lee, Minhyuk Sung

ReNoise: Real Image Inversion Through Iterative Noising

Daniel Garibi, Or Patashnik, Andrey Voynov et al.

Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting

Junwu Zhang, Zhenyu Tang, Yatian Pang et al.

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

Bingxin Ke, Anton Obukhov, Shengyu Huang et al.

Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution

Guangyuan Li, Chen Rao, Juncheng Mo et al.

Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model

chen rao, Guangyuan Li, Zehua Lan et al.

Retrieval-Augmented Score Distillation for Text-to-3D Generation

Junyoung Seo, Susung Hong, Wooseok Jang et al.

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis

Zanlin Ni, Yulin Wang, Renping Zhou et al.

Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation

Yuanchen Ju, Kaizhe Hu, Guowei Zhang et al.

Robust Classification via a Single Diffusion Model

Huanran Chen, Yinpeng Dong, Zhengyi Wang et al.

Robust Inverse Graphics via Probabilistic Inference

Tuan Anh Le, Pavel Sountsov, Matthew Hoffman et al.

Robust Policy Learning via Offline Skill Diffusion

Woo Kyung Kim, Minjong Yoo, Honguk Woo

RoHM: Robust Human Motion Reconstruction via Diffusion

Siwei Zhang, Bharat Lal Bhatnagar, Yuanlu Xu et al.

Rolling Diffusion Models

David Ruhe, Jonathan Heek, Tim Salimans et al.

RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

Kyle Lo, Jorg Peters, Eric Spellman

Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers

Katherine Crowson, Stefan Baumann, Alex Birch et al.

Scalable Motion Style Transfer with Constrained Diffusion Generation

Wenjie Yin, Yi Yu, Hang Yin et al.

SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object Detection

JUNSU KIM, Hoseong Cho, Jihyeon Kim et al.

Seamless Human Motion Composition with Blended Positional Encodings

German Barquero, Sergio Escalera, Cristina Palmero

SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models

Dongseok Shim, Hyoun Jin Kim

Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution

Qingping Zheng, Ling Zheng, Yuanfan Guo et al.

Self-correcting LLM-controlled Diffusion Models

Tsung-Han Wu, Long Lian, Joseph Gonzalez et al.

Self-Guided Generation of Minority Samples Using Diffusion Models

Soobin Um, Jong Chul Ye

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification

Bohan Li, Xiao Xu, Xinghao Wang et al.

Shadow Generation for Composite Image Using Diffusion Model

Qingyang Liu, Junqi You, Jian-Ting Wang et al.

Shapefusion: 3D localized human diffusion models

Rolandos Alexandros Potamias, Michael Tarasiou, Stylianos Ploumpis et al.

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model

Wenyu Li, Binghui Chen, Yifeng Geng et al.

Single Mesh Diffusion Models with Field Latents for Texture Generation

Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia

SinSR: Diffusion-Based Image Super-Resolution in a Single Step

Yufei Wang, Wenhan Yang, Xinyuan Chen et al.

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution

Zhixuan Liang, Yao Mu, Hengbo Ma et al.

SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models

Yuzhou Huang, Liangbin Xie, Xintao Wang et al.

SMaRt: Improving GANs with Score Matching Regularity

Mengfei Xia, Yujun Shen, Ceyuan Yang et al.

Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer

Rafail Fridman, Danah Yatim, Omer Bar-Tal et al.