Papers
DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding
Shanbao Qiao, Xuebing Liu, Seung-Hoon Na
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin et al.
Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation
Quang Nguyen, Truong Vu, Anh Tran et al.
Diffusion-SDF: Text-To-Shape via Voxelized Diffusion
Muheng Li, Yueqi Duan, Jie Zhou et al.
Diffusion-GAN: Training GANs with Diffusion
Zhendong Wang, Huangjie Zheng, Pengcheng He et al.
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders
Huangjie Zheng, Pengcheng He, Weizhu Chen et al.
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Haotian Xue, Alexandre Araujo, Bin Hu et al.
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
Bochuan Cao, Changjiang Li, Ting Wang et al.
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation
Zhekai Du, Jingjing Li
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
Mihir Prabhudesai, Tsung-Wei Ke, Alex Li et al.
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
Zheng Wang, Shikai Fang, Shibo Li et al.
Improving Diffusion-Based Image Synthesis with Context Prediction
Ling Yang, Jingwei Liu, Shenda Hong et al.
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Peiyu Yu, Yaxuan Zhu, Sirui Xie et al.
A Unified Conditional Framework for Diffusion-based Image Restoration
Yi Zhang, Xiaoyu Shi, Dasong Li et al.
A Diffusion-Model of Joint Interactive Navigation
Matthew Niedoba, Jonathan Lavington, Yunpeng Liu et al.
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification
Mintong Kang, Dawn Song, Bo Li
DiffComplete: Diffusion-based Generative 3D Shape Completion
Ruihang Chu, Enze Xie, Shentong Mo et al.
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation
Lisa Dunlap, Alyssa Umino, Han Zhang et al.
Compositional Diffusion-Based Continuous Constraint Solvers
Zhutian Yang, Jiayuan Mao, Yilun Du et al.
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction
Dong Wei, Huaijiang Sun, Bin Li et al.
DiffusionNER: Boundary Diffusion for Named Entity Recognition
Yongliang Shen, Kaitao Song, Xu Tan et al.
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
Zhengfu He, Tianxiang Sun, Qiong Tang et al.
Fine-grained Text Style Transfer with Diffusion-Based Language Models
Yiwei Lyu, Tiange Luo, Jiacheng Shi et al.
Diffusion-based Visual Representation Learning for Medical Question Answering
Dexin Bian, Xiaoru Wang, Meifang Li
DiffusioNeRF: Regularizing Neural Radiance Fields With Denoising Diffusion Models
Jamie Wynn, Daniyar Turmukhambetov