A diffusion model is a type of generative machine-learning model that transforms random noise into realistic data by iteratively refining it. Here examples include PixelCNN++ for image generation, GPT-3.5 for text generation, and RealNVP for density estimation. So, what can you expect from this ...
078 (2024-01-17) Adversarial Examples are Misaligned in Diffusion Model Manifolds https://arxiv.org/pdf/2401.06637.pdf 079 (2024-01-12) 360DVD Controllable Panorama Video Generation with 360-Degree Video Diffusion Model https://arxiv.org/pdf/2401.06578.pdf 080 (2023-12-28) Visions Of Destruc...
138 (2023-11-7) 3DifFusionDet Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion https://arxiv.org/pdf/2311.03742.pdf 139 (2023-11-6) The steady state of the boundary-driven multiparticle asymmetric diffusion model https://arxiv.org/pdf/2311.03603.pdf 140 (2023-11-6)...
We then employ a classification diffusion model to fine-tune the substitute model, considering model uncertainty and incorporating noise augmentation. Finally, we sample adversarial examples from the diffusion models using the average approximation over the diffusion substitute model with multiple inferences....
Our experimental results show that we successfully perturbed the speaker encoder of the YourTTS model using the gradient-based I-FGSM adversarial perturbation method. Furthermore, the adversarial perturbation is effective in preventing the YourTTS model from generating the speech of the target speaker....
DDP: Diffusion Model for Dense Visual Prediction Yuanfeng Ji1∗, Zhe Chen3∗, Enze Xie2†, Lanqing Hong2, Xihui Liu1, Zhaoqiang Liu2, Tong Lu3, Zhenguo Li2, Ping Luo1,4 1The University of Hong Kong 2Huawei Noah's Ark Lab 3Nanjing University 4Shanghai AI Laboratory https:/...
The conditional diffusion model, which is an extension of the diffusion model [35, 71, 75], belongs to the category of likelihood-based models inspired by non-equilibrium thermodynamics. The conditional diffusion model assumes a forward noising process by gradually adding noise to the data sample,...
* 题目: Real-World Denoising via Diffusion Model* PDF: arxiv.org/abs/2305.0445* 作者: Cheng Yang,Lijing Liang,Zhixun Su* [推荐]题目: Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt* PDF: arxiv.org/abs/2305.0443* 作者: ...
Learn the step-by-step process of training a diffusion model, from understanding its fundamentals to implementing it effectively in various applications.
010 (2023-08-3) Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS https://arxiv.org/pdf/2308.01573.pdf 011 (2023-08-3) Motion Planning Diffusion Learning and Planning of Robot Motions with Diffusion Models ...