IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Shitong, Zhou, Zikai, Bai, Lichen, Xiong, Haoyi, Xie, Zeke |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reflective Flow Sampling Enhancement
by: Zhou, Zikai, et al.
Published: (2026)
by: Zhou, Zikai, et al.
Published: (2026)
Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
by: Xie, Dian, et al.
Published: (2026)
by: Xie, Dian, et al.
Published: (2026)
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
by: Bai, Lichen, et al.
Published: (2024)
by: Bai, Lichen, et al.
Published: (2024)
Efficient Video Diffusion Models: Advancements and Challenges
by: Shao, Shitong, et al.
Published: (2026)
by: Shao, Shitong, et al.
Published: (2026)
PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026)
by: Li, Haopeng, et al.
Published: (2026)
Golden Noise for Diffusion Models: A Learning Framework
by: Zhou, Zikai, et al.
Published: (2024)
by: Zhou, Zikai, et al.
Published: (2024)
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization
by: Qi, Zipeng, et al.
Published: (2024)
by: Qi, Zipeng, et al.
Published: (2024)
Exploring Data-Free LoRA Transferability for Video Diffusion Models
by: Wang, Yuchen, et al.
Published: (2026)
by: Wang, Yuchen, et al.
Published: (2026)
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
by: Shao, Shitong, et al.
Published: (2026)
by: Shao, Shitong, et al.
Published: (2026)
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
by: Shao, Shitong, et al.
Published: (2024)
by: Shao, Shitong, et al.
Published: (2024)
CoRe^2: Collect, Reflect and Refine to Generate Better and Faster
by: Shao, Shitong, et al.
Published: (2025)
by: Shao, Shitong, et al.
Published: (2025)
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
by: Liu, Buhua, et al.
Published: (2024)
by: Liu, Buhua, et al.
Published: (2024)
CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)
by: Sun, Zening, et al.
Published: (2026)
Elucidating the Design Space of Dataset Condensation
by: Shao, Shitong, et al.
Published: (2024)
by: Shao, Shitong, et al.
Published: (2024)
Optimizing Few-Step Generation with Adaptive Matching Distillation
by: Bai, Lichen, et al.
Published: (2026)
by: Bai, Lichen, et al.
Published: (2026)
FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters
by: Shao, Shitong, et al.
Published: (2026)
by: Shao, Shitong, et al.
Published: (2026)
Weak-to-Strong Diffusion with Reflection
by: Bai, Lichen, et al.
Published: (2025)
by: Bai, Lichen, et al.
Published: (2025)
ViBiDSampler: Enhancing Video Interpolation Using Bidirectional Diffusion Sampler
by: Yang, Serin, et al.
Published: (2024)
by: Yang, Serin, et al.
Published: (2024)
Optimizing Few-Step Sampler for Diffusion Probabilistic Model
by: Huang, Jen-Yuan
Published: (2024)
by: Huang, Jen-Yuan
Published: (2024)
Ctrl-VI: Controllable Video Synthesis via Variational Inference
by: Duan, Haoyi, et al.
Published: (2025)
by: Duan, Haoyi, et al.
Published: (2025)
FashionFlow: Leveraging Diffusion Models for Dynamic Fashion Video Synthesis from Static Imagery
by: Islam, Tasin, et al.
Published: (2023)
by: Islam, Tasin, et al.
Published: (2023)
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models
by: Wang, Hanzhang, et al.
Published: (2024)
by: Wang, Hanzhang, et al.
Published: (2024)
Self-supervised Dataset Distillation: A Good Compression Is All You Need
by: Zhou, Muxin, et al.
Published: (2024)
by: Zhou, Muxin, et al.
Published: (2024)
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models
by: Wang, Yuang, et al.
Published: (2024)
by: Wang, Yuang, et al.
Published: (2024)
Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models
by: Bao, Zhipeng, et al.
Published: (2023)
by: Bao, Zhipeng, et al.
Published: (2023)
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching
by: Shao, Shitong, et al.
Published: (2023)
by: Shao, Shitong, et al.
Published: (2023)
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
by: Kim, Jeongsol, et al.
Published: (2024)
by: Kim, Jeongsol, et al.
Published: (2024)
Improving Diffusion Posterior Samplers with Lagged Temporal Corrections for Image Restoration
by: Evangelista, Davide, et al.
Published: (2026)
by: Evangelista, Davide, et al.
Published: (2026)
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)
MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis
by: Shao, Shitong, et al.
Published: (2025)
by: Shao, Shitong, et al.
Published: (2025)
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model
by: Zhang, Song, et al.
Published: (2024)
by: Zhang, Song, et al.
Published: (2024)
Diffusion Cocktail: Mixing Domain-Specific Diffusion Models for Diversified Image Generations
by: Liu, Haoming, et al.
Published: (2023)
by: Liu, Haoming, et al.
Published: (2023)
Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene Segmentation
by: Zhou, Yihang, et al.
Published: (2024)
by: Zhou, Yihang, et al.
Published: (2024)
HisynSeg: Weakly-Supervised Histopathological Image Segmentation via Image-Mixing Synthesis and Consistency Regularization
by: Fang, Zijie, et al.
Published: (2024)
by: Fang, Zijie, et al.
Published: (2024)
CCIS-Diff: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis
by: Xie, Yifan, et al.
Published: (2024)
by: Xie, Yifan, et al.
Published: (2024)
Enhancing Object Coherence in Layout-to-Image Synthesis
by: Wang, Yibin, et al.
Published: (2023)
by: Wang, Yibin, et al.
Published: (2023)
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
by: Zhao, Min, et al.
Published: (2024)
by: Zhao, Min, et al.
Published: (2024)
Conditional Image Synthesis with Diffusion Models: A Survey
by: Zhan, Zheyuan, et al.
Published: (2024)
by: Zhan, Zheyuan, et al.
Published: (2024)
StyleVAR: Controllable Image Style Transfer via Visual Autoregressive Modeling
by: Jing, Liqi, et al.
Published: (2026)
by: Jing, Liqi, et al.
Published: (2026)
Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
by: Yeganeh, Yousef, et al.
Published: (2024)
by: Yeganeh, Yousef, et al.
Published: (2024)
Similar Items
-
Reflective Flow Sampling Enhancement
by: Zhou, Zikai, et al.
Published: (2026) -
Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
by: Xie, Dian, et al.
Published: (2026) -
Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection
by: Bai, Lichen, et al.
Published: (2024) -
Efficient Video Diffusion Models: Advancements and Challenges
by: Shao, Shitong, et al.
Published: (2026) -
PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026)