All Papers
34,598 papers found • Page 99 of 692
Conference
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun, Feidi Liu, Zhengming Ding et al.
Diffusion-Guided Graph Data Augmentation
Maria Marrium, Arif Mahmood, Muhammad Haris Khan et al.
Diffusion Image Prior
Hamadi Chihaoui, Paolo Favaro
Diffusion Instruction Tuning
Chen Jin, Ryutaro Tanno, Amrutha Saseendran et al.
Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
Tao Zhang, Cheng Da, Kun Ding et al.
Diffusion Model is Effectively Its Own Teacher
Xinyin Ma, Runpeng Yu, Songhua Liu et al.
Diffusion Model Patching via Mixture-of-Prompts
Seokil Ham, Sangmin Woo, Jin-Young Kim et al.
Diffusion Models and Gaussian Flow Matching: Two Sides of the Same Coin
Ruiqi Gao, Emiel Hoogeboom, Jonathan Heek et al.
Diffusion Models and the Manifold Hypothesis: Log-Domain Smoothing is Geometry Adaptive
Tyler Farghly, Peter Potaptchik, Samuel Howard et al.
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan et al.
Diffusion Models Are Real-Time Game Engines
Dani Valevski, Yaniv Leviathan, Moab Arar et al.
Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation
Hengyuan Hu, Aniket Das, Dorsa Sadigh et al.
Diffusion Models as Cartoonists: The Curious Case of High Density Regions
Rafał Karczewski, Markus Heinonen, Vikas Garg
Diffusion Models for Attribution
Xiongren Chen, Jiuyong Li, Jixue Liu et al.
Diffusion models for Gaussian distributions: Exact solutions and Wasserstein errors
Emile Pierret, Bruno Galerne
Diffusion Models Meet Contextual Bandits
Imad Aouali
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
Fu-Yun Wang, Yunhao Shui, Jingtan Piao et al.
Diffusion on Demand: Selective Caching and Modulation for Efficient Generation
Hee Min Choi, Hyoa Kang, Dokwan Oh et al.
Diffusion on Language Model Encodings for Protein Sequence Generation
Viacheslav Meshchaninov, Pavel Strashnov, Andrey Shevtsov et al.
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur, Erik Jenner, Stuart Russell
Diffusion Policy Policy Optimization
Allen Ren, Justin Lidard, Lars Ankile et al.
Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution
Jiarui Yang, Tao Dai, Yufei Zhu et al.
DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension
Jingcheng Ke, Waikeung Wong, Jia Wang et al.
Diffusion Renderer: Neural Inverse and Forward Rendering with Video Diffusion Models
Ruofan Liang, Žan Gojčič, Huan Ling et al.
Diffusion Sampling Correction via Approximately 10 Parameters
Guangyi Wang, Wei Peng, lijiang Li et al.
Diffusion Self-Distillation for Zero-Shot Customized Image Generation
Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang et al.
DiffusionSfM: Predicting Structure and Motion via Ray Origin and Endpoint Diffusion
Qitao Zhao, Amy Lin, Jeff Tan et al.
Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi, Bahareh Tolooshams, anima anandkumar
Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data
Hengyu Fu, Zehao Dou, Jiawei Guo et al.
Diffusion Transformer meets Multi-level Wavelet Spectrum for Single Image Super-Resolution
Peng Du, Hui Li, Han Xu et al.
Diffusion Transformers as Open-World Spatiotemporal Foundation Models
Yuan Yuan, Chonghua Han, Jingtao Ding et al.
Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
Zeqi Ye, Minshuo Chen
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti, Enver Sangineto, Simone Luetto et al.
Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models
Vineet Jain, Kusha Sareen, Mohammad Pedramfar et al.
DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
Junjie Wen, Yichen Zhu, Minjie Zhu et al.
DiffVsgg: Diffusion-Driven Online Video Scene Graph Generation
Mu Chen, Liulei Li, Wenguan Wang et al.
DiffVSR: Revealing an Effective Recipe for Taming Robust Video Super-Resolution Against Complex Degradations
Xiaohui Li, Yihao Liu, Shuo Cao et al.
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
Xingyuan Li, Zirui Wang, Yang Zou et al.
DIFIX3D+: Improving 3D Reconstructions with Single-Step Diffusion Models
Jay Zhangjie Wu, Yuxuan Zhang, Haithem Turki et al.
DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D Inpainting
Jingyi Pan, Dan Xu, Qiong Luo
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion
Jisheng Chu, Wenrui Li, Xingtao Wang et al.
Digi-Q: Learning VLM Q-Value Functions for Training Device-Control Agents
Hao Bai, Yifei Zhou, Li Li et al.
DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs
Shiyu Li, Pengxu Wei, Pengchong Qiao et al.
Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset
Zhao Dong, Ka chen, Zhaoyang Lv et al.
DiGIT: Multi-Dilated Gated Encoder and Central-Adjacent Region Integrated Decoder for Temporal Action Detection Transformer
Ho-Joong Kim, Yearang Lee, Jung-Ho Hong et al.
DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention
Lianghui Zhu, Zilong Huang, Bencheng Liao et al.
DIH-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation
Songsong Duan, Xi Yang, Nannan Wang
DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
Shuyuan Wang, Philip D. Loewen, Michael Forbes et al.
DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models
Boyu Zhang, Aocheng Shen, Bing Liu et al.
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models
Revant Teotia, Candace Ross, Karen Ullrich et al.