On Equivariance and Fast Sampling in Video Diffusion Models Trained with Warped Noise
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Chao, Vahdat, Arash |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fast Training of Diffusion Models with Masked Transformers
by: Zheng, Hongkai, et al.
Published: (2023)
by: Zheng, Hongkai, et al.
Published: (2023)
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
by: Daras, Giannis, et al.
Published: (2024)
by: Daras, Giannis, et al.
Published: (2024)
Transition Matching Distillation for Fast Video Generation
by: Nie, Weili, et al.
Published: (2026)
by: Nie, Weili, et al.
Published: (2026)
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
by: Feng, Weixi, et al.
Published: (2025)
by: Feng, Weixi, et al.
Published: (2025)
One-step Diffusion Models with $f$-Divergence Distribution Matching
by: Xu, Yilun, et al.
Published: (2025)
by: Xu, Yilun, et al.
Published: (2025)
Elucidating Optimal Reward-Diversity Tradeoffs in Text-to-Image Diffusion Models
by: Jena, Rohit, et al.
Published: (2024)
by: Jena, Rohit, et al.
Published: (2024)
Not-So-Optimal Transport Flows for 3D Point Cloud Generation
by: Hui, Ka-Hei, et al.
Published: (2025)
by: Hui, Ka-Hei, et al.
Published: (2025)
DiffiT: Diffusion Vision Transformers for Image Generation
by: Hatamizadeh, Ali, et al.
Published: (2023)
by: Hatamizadeh, Ali, et al.
Published: (2023)
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents
by: Xu, Yilun, et al.
Published: (2024)
by: Xu, Yilun, et al.
Published: (2024)
Infinite-Resolution Integral Noise Warping for Diffusion Models
by: Deng, Yitong, et al.
Published: (2024)
by: Deng, Yitong, et al.
Published: (2024)
WorldWarp: Propagating 3D Geometry with Asynchronous Video Diffusion
by: Kong, Hanyang, et al.
Published: (2025)
by: Kong, Hanyang, et al.
Published: (2025)
Compositional Text-to-Image Generation with Dense Blob Representations
by: Nie, Weili, et al.
Published: (2024)
by: Nie, Weili, et al.
Published: (2024)
DualFast: Dual-Speedup Framework for Fast Sampling of Diffusion Models
by: Yu, Hu, et al.
Published: (2025)
by: Yu, Hu, et al.
Published: (2025)
FastInit: Fast Noise Initialization for Temporally Consistent Video Generation
by: Bai, Chengyu, et al.
Published: (2025)
by: Bai, Chengyu, et al.
Published: (2025)
Improved Noise Schedule for Diffusion Training
by: Hang, Tiankai, et al.
Published: (2024)
by: Hang, Tiankai, et al.
Published: (2024)
StabStitch++: Unsupervised Online Video Stitching with Spatiotemporal Bidirectional Warps
by: Nie, Lang, et al.
Published: (2025)
by: Nie, Lang, et al.
Published: (2025)
Fast Sampling Through The Reuse Of Attention Maps In Diffusion Models
by: Hunter, Rosco, et al.
Published: (2023)
by: Hunter, Rosco, et al.
Published: (2023)
Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model
by: Kim, Kwanyoung, et al.
Published: (2025)
by: Kim, Kwanyoung, et al.
Published: (2025)
Stabilizing Diffusion Posterior Sampling by Noise--Frequency Continuation
by: Tian, Feng, et al.
Published: (2026)
by: Tian, Feng, et al.
Published: (2026)
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
by: Zhou, Zhenyu, et al.
Published: (2023)
by: Zhou, Zhenyu, et al.
Published: (2023)
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation
by: Zheng, PengFei, et al.
Published: (2024)
by: Zheng, PengFei, et al.
Published: (2024)
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
by: Nguyen, Hung, et al.
Published: (2024)
by: Nguyen, Hung, et al.
Published: (2024)
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
by: Wu, Fang, et al.
Published: (2026)
by: Wu, Fang, et al.
Published: (2026)
GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection
by: Gao, Xin, et al.
Published: (2025)
by: Gao, Xin, et al.
Published: (2025)
HASTE: Training-Free Video Diffusion Acceleration via Head-Wise Adaptive Sparse Attention
by: Zheng, Xuzhe, et al.
Published: (2026)
by: Zheng, Xuzhe, et al.
Published: (2026)
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
by: Samuel, Dvir, et al.
Published: (2026)
by: Samuel, Dvir, et al.
Published: (2026)
Truncated Consistency Models
by: Lee, Sangyun, et al.
Published: (2024)
by: Lee, Sangyun, et al.
Published: (2024)
Think-Clip-Sample: Slow-Fast Frame Selection for Video Understanding
by: Tan, Wenhui, et al.
Published: (2026)
by: Tan, Wenhui, et al.
Published: (2026)
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
by: Li, Chao, et al.
Published: (2025)
by: Li, Chao, et al.
Published: (2025)
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
by: Zhan, Zheng, et al.
Published: (2024)
by: Zhan, Zheng, et al.
Published: (2024)
FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models
by: Zhong, Haonan, et al.
Published: (2026)
by: Zhong, Haonan, et al.
Published: (2026)
Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos
by: Wang, Songping, et al.
Published: (2025)
by: Wang, Songping, et al.
Published: (2025)
QNCD: Quantization Noise Correction for Diffusion Models
by: Chu, Huanpeng, et al.
Published: (2024)
by: Chu, Huanpeng, et al.
Published: (2024)
Aligning Diffusion Models with Noise-Conditioned Perception
by: Gambashidze, Alexander, et al.
Published: (2024)
by: Gambashidze, Alexander, et al.
Published: (2024)
Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)
by: Jang, Sangwon, et al.
Published: (2025)
Generalizable Face Landmarking Guided by Conditional Face Warping
by: Liang, Jiayi, et al.
Published: (2024)
by: Liang, Jiayi, et al.
Published: (2024)
FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment
by: Xu, Hang, et al.
Published: (2025)
by: Xu, Hang, et al.
Published: (2025)
PackForcing: Short Video Training Suffices for Long Video Sampling and Long Context Inference
by: Mao, Xiaofeng, et al.
Published: (2026)
by: Mao, Xiaofeng, et al.
Published: (2026)
GVD: Guiding Video Diffusion Model for Scalable Video Distillation
by: Li, Kunyang, et al.
Published: (2025)
by: Li, Kunyang, et al.
Published: (2025)
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models
by: Shi, Fengyuan, et al.
Published: (2023)
by: Shi, Fengyuan, et al.
Published: (2023)
Similar Items
-
Fast Training of Diffusion Models with Masked Transformers
by: Zheng, Hongkai, et al.
Published: (2023) -
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
by: Daras, Giannis, et al.
Published: (2024) -
Transition Matching Distillation for Fast Video Generation
by: Nie, Weili, et al.
Published: (2026) -
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
by: Feng, Weixi, et al.
Published: (2025) -
One-step Diffusion Models with $f$-Divergence Distribution Matching
by: Xu, Yilun, et al.
Published: (2025)