Oral "diffusion models" Papers
34 papers found
Conference
A Geometry-Aware Metric for Mode Collapse in Time Series Generative Models
Yassine ABBAHADDOU, Amine Aboussalah
A Gradient Guidance Perspective on Stepwise Preference Optimization for Diffusion Models
Joshua Tian Jin Tee, Hee Suk Yoon, Abu Hanif Muhammad Syarubany et al.
ALTER: All-in-One Layer Pruning and Temporal Expert Routing for Efficient Diffusion Generation
Xiaomeng Yang, LEI LU, Qihui Fan et al.
Continuous Ensemble Weather Forecasting with Diffusion models
Martin Andrae, Tomas Landelius, Joel Oskarsson et al.
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
Han Lin, Jaemin Cho, Abhay Zala et al.
Deep Compositional Phase Diffusion for Long Motion Sequence Generation
Ho Yin Au, Jie Chen, Junkun Jiang et al.
DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
Yuxiang Li, Yang Zhang, Li et al.
Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching
Lei Yuan, Yuqi Bian, Lihe Li et al.
Elucidated Rolling Diffusion Models for Probabilistic Forecasting of Complex Dynamics
Salva Rühling Cachay, Miika Aittala, Karsten Kreis et al.
FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation
Ariel Shaulov, Itay Hazan, Lior Wolf et al.
Glad: A Streaming Scene Generator for Autonomous Driving
Bin Xie, Yingfei Liu, Tiancai Wang et al.
Image as a World: Generating Interactive World from Single Image via Panoramic Video Generation
Dongnan Gui, Xun Guo, Wengang Zhou et al.
Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
Youssef Shehata, Benjamin Holzschuh, Nils Thuerey
Infinite-Resolution Integral Noise Warping for Diffusion Models
Yitong Deng, Winnie Lin, Lingxiao Li et al.
Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks
Francesco Cozzi, Marco Pangallo, Alan Perotti et al.
Masked Temporal Interpolation Diffusion for Procedure Planning in Instructional Videos
Yufan Zhou, Zhaobo Qi, Lingshuai Lin et al.
On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders
Wenyu Mao, Jiancan Wu, Guoqing Hu et al.
PhysCtrl: Generative Physics for Controllable and Physics-Grounded Video Generation
Chen Wang, Chuhao Chen, Yiming Huang et al.
PhysDiff-VTON: Cross-Domain Physics Modeling and Trajectory Optimization for Virtual Try-On
Shibin Mei, Bingbing Ni
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
Rudy Morel, Francesco Ramunno, Jeff Shen et al.
Principled Long-Tailed Generative Modeling via Diffusion Models
Pranoy Das, Kexin Fu, Abolfazl Hashemi et al.
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi et al.
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
Vaishnavh Nagarajan, Chen Wu, Charles Ding et al.
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation
Yining Hong, Beide Liu, Maxine Wu et al.
Solving Video Inverse Problems Using Image Diffusion Models
Taesung Kwon, Jong Chul YE
Stable Part Diffusion 4D: Multi-View RGB and Kinematic Parts Video Generation
Hao Zhang, Chun-Han Yao, Simon Donné et al.
State-Covering Trajectory Stitching for Diffusion Planners
Kyowoon Lee, Jaesik Choi
Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach
Tal Gonen, Itai Pemper, Ilan Naiman et al.
Unlocking Point Processes through Point Set Diffusion
David Lüdke, Enric Rabasseda Raventós, Marcel Kollovieh et al.
VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis
Yumeng Li, William H Beluch, Margret Keuper et al.
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training
Tony Bonnaire, Raphaël Urfin, Giulio Biroli et al.
WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception
Zhiheng Liu, Xueqing Deng, Shoufa Chen et al.
Diffusion Model-Augmented Behavioral Cloning
Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu et al.
Rolling Diffusion Models
David Ruhe, Jonathan Heek, Tim Salimans et al.