Poster "denoising diffusion models" Papers
22 papers found
Conference
Assessing the quality of denoising diffusion models in Wasserstein distance: noisy score and optimal bounds
Vahan Arsenyan, Elen Vardanyan, Arnak Dalalyan
Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video
Xiao Li, Qi Chen, Xiulian Peng et al.
Fast constrained sampling in pre-trained diffusion models
Alexandros Graikos, Nebojsa Jojic, Dimitris Samaras
ITA-MDT: Image-Timestep-Adaptive Masked Diffusion Transformer Framework for Image-Based Virtual Try-On
Ji Woo Hong, Tri Ton, Trung X. Pham et al.
MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction
Yusuke Yoshiyasu, Leyuan Sun, Ryusuke Sagawa
SALAD: Skeleton-aware Latent Diffusion for Text-driven Motion Generation and Editing
Seokhyeon Hong, Chaelin Kim, Serin Yoon et al.
SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning
XIN Hu, Ke Qin, Guiduo Duan et al.
V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection
Xun Huang, Jinlong Wang, Qiming Xia et al.
CAGE: Controllable Articulation GEneration
Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi Amiri et al.
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection
Jianwei Zhao, Xin Li, Fan Yang et al.
Generative Proxemics: A Prior for 3D Social Interaction from Images
Vickie Ye, Vickie Ye, Georgios Pavlakos et al.
Global Counterfactual Directions
Bartlomiej Sobieski, Przemyslaw Biecek
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance
Tomer Garber, Tom Tirer
InstructGIE: Towards Generalizable Image Editing
Zichong Meng, Changdi Yang, Jun Liu et al.
Interpreting and Improving Diffusion Models from an Optimization Perspective
Frank Permenter, Chenyang Yuan
Learning to Reach Goals via Diffusion
Vineet Jain, Siamak Ravanbakhsh
Multi-modal Crowd Counting via a Broker Modality
Haoliang Meng, Xiaopeng Hong, Chenhao Wang et al.
Particle Denoising Diffusion Sampler
Angus Phillips, Hai-Dang Dau, Michael Hutchinson et al.
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Tijin Yan, Hengheng Gong, Yongping He et al.
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions
Anindita Ghosh, Rishabh Dabral, Vladislav Golyanik et al.
Sliced Wasserstein with Random-Path Projecting Directions
Khai Nguyen, Shujian Zhang, Tam Le et al.
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
JIAN XU, Delu Zeng, John Paisley