LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Shitong, Zhou, Zikai, Li, Haopeng, Song, Yingwei, Zhong, Wenliang, Bai, Lichen, Xie, Zeke |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026)
by: Li, Haopeng, et al.
Published: (2026)
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
by: Shao, Shitong, et al.
Published: (2024)
by: Shao, Shitong, 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)
Optimizing Few-Step Generation with Adaptive Matching Distillation
by: Bai, Lichen, et al.
Published: (2026)
by: Bai, Lichen, 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)
Efficient Video Diffusion Models: Advancements and Challenges
by: Shao, Shitong, et al.
Published: (2026)
by: Shao, Shitong, 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)
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)
Golden Noise for Diffusion Models: A Learning Framework
by: Zhou, Zikai, et al.
Published: (2024)
by: Zhou, Zikai, et al.
Published: (2024)
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)
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)
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)
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)
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
by: Liu, Buhua, et al.
Published: (2024)
by: Liu, Buhua, et al.
Published: (2024)
Accelerating Diffusion Model Training under Minimal Budgets: A Condensation-Based Perspective
by: Huang, Rui, et al.
Published: (2025)
by: Huang, Rui, et al.
Published: (2025)
Elucidating the Design Space of Dataset Condensation
by: Shao, Shitong, et al.
Published: (2024)
by: Shao, Shitong, et al.
Published: (2024)
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)
Rethinking Centered Kernel Alignment in Knowledge Distillation
by: Zhou, Zikai, et al.
Published: (2024)
by: Zhou, Zikai, et al.
Published: (2024)
LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos
by: Shi, Yujun, et al.
Published: (2024)
by: Shi, Yujun, et al.
Published: (2024)
UNIC: Unified In-Context Video Editing
by: Ye, Zixuan, et al.
Published: (2025)
by: Ye, Zixuan, et al.
Published: (2025)
HAVEN: Hierarchically Aligned Multimodal Benchmark for Unified Video Understanding
by: Shi, Mengqi, et al.
Published: (2026)
by: Shi, Mengqi, et al.
Published: (2026)
IC-Effect: Precise and Efficient Video Effects Editing via In-Context Learning
by: Li, Yuanhang, et al.
Published: (2025)
by: Li, Yuanhang, et al.
Published: (2025)
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
by: Ju, Xuan, et al.
Published: (2025)
by: Ju, Xuan, et al.
Published: (2025)
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
by: Ma, Haoyu, et al.
Published: (2023)
by: Ma, Haoyu, et al.
Published: (2023)
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
by: Sun, Haopeng, et al.
Published: (2024)
by: Sun, Haopeng, et al.
Published: (2024)
MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice
by: Yi, Hongwei, et al.
Published: (2025)
by: Yi, Hongwei, et al.
Published: (2025)
VideoCoF: Unified Video Editing with Temporal Reasoner
by: Yang, Xiangpeng, et al.
Published: (2025)
by: Yang, Xiangpeng, et al.
Published: (2025)
VideoNSA: Native Sparse Attention Scales Video Understanding
by: Song, Enxin, et al.
Published: (2025)
by: Song, Enxin, et al.
Published: (2025)
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
by: Yang, Shuo, et al.
Published: (2025)
by: Yang, Shuo, et al.
Published: (2025)
Point-to-Point: Sparse Motion Guidance for Controllable Video Editing
by: Song, Yeji, et al.
Published: (2025)
by: Song, Yeji, et al.
Published: (2025)
FreqFormer: Hierarchical Frequency-Domain Attention with Adaptive Spectral Routing for Long-Sequence Video Diffusion Transformers
by: Jin, Haopeng
Published: (2026)
by: Jin, Haopeng
Published: (2026)
UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing
by: Ma, Lichen, et al.
Published: (2026)
by: Ma, Lichen, et al.
Published: (2026)
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
by: Zhu, Yixuan, et al.
Published: (2025)
by: Zhu, Yixuan, et al.
Published: (2025)
FAME: Fairness-aware Attention-modulated Video Editing
by: Wu, Zhangkai, et al.
Published: (2025)
by: Wu, Zhangkai, et al.
Published: (2025)
VecAttention: Vector-wise Sparse Attention for Accelerating Long Context Inference
by: Liu, Anmin, et al.
Published: (2026)
by: Liu, Anmin, et al.
Published: (2026)
UniGeo: Unifying Geometric Guidance for Camera-Controllable Image Editing via Video Models
by: Jiang, Hong, et al.
Published: (2026)
by: Jiang, Hong, et al.
Published: (2026)
SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion
by: Nguyen, Trong-Tung, et al.
Published: (2024)
by: Nguyen, Trong-Tung, et al.
Published: (2024)
AdaFlow: Efficient Long Video Editing via Adaptive Attention Slimming And Keyframe Selection
by: Zhang, Shuheng, et al.
Published: (2025)
by: Zhang, Shuheng, et al.
Published: (2025)
Similar Items
-
PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers
by: Li, Haopeng, et al.
Published: (2026) -
IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis
by: Shao, Shitong, et al.
Published: (2024) -
Exploring Data-Free LoRA Transferability for Video Diffusion Models
by: Wang, Yuchen, et al.
Published: (2026) -
Optimizing Few-Step Generation with Adaptive Matching Distillation
by: Bai, Lichen, et al.
Published: (2026) -
Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer
by: Shao, Shitong, et al.
Published: (2024)