Poster "diffusion models" Papers
824 papers found • Page 3 of 17
Conference
Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning
Qianli Ma, Xuefei Ning, Dongrui Liu et al.
Democratizing High-Fidelity Co-Speech Gesture Video Generation
Xu Yang, Shaoli Huang, Shenbo Xie et al.
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
Jiatao Gu, Yuyang Wang, Yizhe Zhang et al.
Denoising with a Joint-Embedding Predictive Architecture
Chen Dengsheng, Jie Hu, Xiaoming Wei et al.
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI
Won Jun Kim, Hyungjin Chung, Jaemin Kim et al.
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
Kyungmin Jo, Jooyeol Yun, Jaegul Choo
DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
Hyogon Ryu, NaHyeon Park, Hyunjung Shim
DIA: The Adversarial Exposure of Deterministic Inversion in Diffusion Models
SeungHoo Hong, GeonHo Son, Juhun Lee et al.
DiC: Rethinking Conv3x3 Designs in Diffusion Models
Yuchuan Tian, Jing Han, Chengcheng Wang et al.
DiffE2E: Rethinking End-to-End Driving with a Hybrid Diffusion-Regression-Classification Policy
Rui Zhao, Yuze Fan, Ziguo Chen et al.
Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation
Hyunsoo Kim, Donghyun Kim, Suhyun Kim
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li, Yuan Gao, Jinda Lu et al.
Diff-ICMH: Harmonizing Machine and Human Vision in Image Compression with Generative Prior
Ruoyu Feng, Yunpeng Qi, Jinming Liu et al.
DiffLocks: Generating 3D Hair from a Single Image using Diffusion Models
Radu Alexandru Rosu, Keyu Wu, Yao Feng et al.
Diff-Palm: Realistic Palmprint Generation with Polynomial Creases and Intra-Class Variation Controllable Diffusion Models
Jianlong Jin, Chenglong Zhao, Ruixin Zhang et al.
Diff-Prompt: Diffusion-driven Prompt Generator with Mask Supervision
Weicai Yan, Wang Lin, Zirun Guo et al.
DiffSim: Taming Diffusion Models for Evaluating Visual Similarity
Yiren Song, Xiaokang Liu, Mike Zheng Shou
Diffusion-based 3D Hand Motion Recovery with Intuitive Physics
Yufei Zhang, Zijun Cui, Jeffrey Kephart et al.
Diffusion-based Event Generation for High-Quality Image Deblurring
Xinan Xie, Qing Zhang, Wei-Shi Zheng
Diffusion-Based Imaginative Coordination for Bimanual Manipulation
Huilin Xu, Jian Ding, Jiakun Xu et al.
Diffusion-based Neural Network Weights Generation
Bedionita Soro, Bruno Andreis, Hayeon Lee et al.
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Yinan Zheng, Ruiming Liang, Kexin ZHENG et al.
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim, Wonho Bae, YouLee Han et al.
Diffusion Federated Dataset
SEOKJU HAHN, Junghye Lee
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
William June Suk Choi, Kyungmin Lee, Jongheon Jeong et al.
Diffusion Image Prior
Hamadi Chihaoui, Paolo Favaro
Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization
Tao Zhang, Cheng Da, Kun Ding et al.
Diffusion Models and Gaussian Flow Matching: Two Sides of the Same Coin
Ruiqi Gao, Emiel Hoogeboom, Jonathan Heek et al.
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan et al.
Diffusion Models as Cartoonists: The Curious Case of High Density Regions
Rafał Karczewski, Markus Heinonen, Vikas Garg
Diffusion On Syntax Trees For Program Synthesis
Shreyas Kapur, Erik Jenner, Stuart Russell
DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D Inpainting
Jingyi Pan, Dan Xu, Qiong Luo
Directional Label Diffusion Model for Learning from Noisy Labels
Senyu Hou, Gaoxia Jiang, Jia Zhang et al.
DISCO: DISCrete nOise for Conditional Control in Text-to-Image Diffusion Models
Longquan Dai, Wu Ming, Dejiao Xue et al.
DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery
Jing Gao, Ce Zheng, Laszlo Jeni et al.
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability
Yingdong Shi, Changming Li, Yifan Wang et al.
Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
Beier Zhu, Ruoyu Wang, Tong Zhao et al.
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
Shengyuan Zhang, Ling Yang, Zejian Li et al.
DIVE: Taming DINO for Subject-Driven Video Editing
Yi Huang, Wei Xiong, He Zhang et al.
Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation
Yuying Ge, Yizhuo Li, Yixiao Ge et al.
DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
Qianlong Xiang, Miao Zhang, Yuzhang Shang et al.
DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization
Dongyeun Lee, jiwan hur, Hyounguk Shon et al.
DNF-Intrinsic: Deterministic Noise-Free Diffusion for Indoor Inverse Rendering
Rongjia Zheng, Qing Zhang, Chengjiang Long et al.
Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
Janet Wang, Yunbei Zhang, Zhengming Ding et al.
Does Training with Synthetic Data Truly Protect Privacy?
Yunpeng Zhao, Jie Zhang
DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning
Chao Li, Ziwei Deng, Chenxing Lin et al.
DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
Zheng Chen, Zichen Zou, Kewei Zhang et al.
DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization
Yunseon Choi, Minchan Jeong, Soobin Um et al.
DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior
Junzhe Lu, Jing Lin, Hongkun Dou et al.
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
Jiwook Kim, Seonho Lee, Jaeyo Shin et al.