Cover Image

Coherent Video Inpainting Using Optical Flow-Guided Efficient Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Bohai, Luo, Hao, Guo, Song, Dong, Peiran, Zhou, Qihua
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Flow-Guided Diffusion for Video Inpainting
by: Gu, Bohai, et al.
Published: (2023)

DiffuEraser: A Diffusion Model for Video Inpainting
by: Li, Xiaowen, et al.
Published: (2025)

Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
by: Zhang, Kaidong, et al.
Published: (2023)

Elevating Flow-Guided Video Inpainting with Reference Generation
by: Cho, Suhwan, et al.
Published: (2024)

DiTPainter: Efficient Video Inpainting with Diffusion Transformers
by: Wu, Xian, et al.
Published: (2025)

Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
by: Fischer, Tom, et al.
Published: (2024)

AVID: Any-Length Video Inpainting with Diffusion Model
by: Zhang, Zhixing, et al.
Published: (2023)

MTV-Inpaint: Multi-Task Long Video Inpainting
by: Yang, Shiyuan, et al.
Published: (2025)

VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion Models
by: Xie, Chaohao, et al.
Published: (2025)

Mumpy: Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection
by: Zhang, Ying, et al.
Published: (2024)

MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding
by: Wu, Peiran, et al.
Published: (2025)

FloVD: Optical Flow Meets Video Diffusion Model for Enhanced Camera-Controlled Video Synthesis
by: Jin, Wonjoon, et al.
Published: (2025)

EraserDiT: Fast Video Inpainting with Diffusion Transformer Model
by: Liu, Jie, et al.
Published: (2025)

Towards Realistic Landmark-Guided Facial Video Inpainting Based on GANs
by: Lohesara, Fatemeh Ghorbani, et al.
Published: (2024)

Place-it-R1: Unlocking Environment-aware Reasoning Potential of MLLM for Video Object Insertion
by: Gu, Bohai, et al.
Published: (2026)

Text Image Inpainting via Global Structure-Guided Diffusion Models
by: Zhu, Shipeng, et al.
Published: (2024)

Coherent and Multi-modality Image Inpainting via Latent Space Optimization
by: Pan, Lingzhi, et al.
Published: (2024)

NeRF Inpainting with Geometric Diffusion Prior and Balanced Score Distillation
by: Zhang, Menglin, et al.
Published: (2024)

Optical-Flow Guided Prompt Optimization for Coherent Video Generation
by: Nam, Hyelin, et al.
Published: (2024)

Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
by: Zhao, Lirui, et al.
Published: (2024)

Enhancing Video Inpainting with Aligned Frame Interval Guidance
by: Xie, Ming, et al.
Published: (2025)

O-MARC: Omni Memory-Augmented Compression Distillation for Efficient Video Understanding
by: Wu, Peiran, et al.
Published: (2026)

MObI: Multimodal Object Inpainting Using Diffusion Models
by: Buburuzan, Alexandru, et al.
Published: (2025)

HarmonPaint: Harmonized Training-Free Diffusion Inpainting
by: Li, Ying, et al.
Published: (2025)

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation
by: Buburuzan, Alexandru
Published: (2025)

Line Drawing Guided Progressive Inpainting of Mural Damage
by: Li, Luxi, et al.
Published: (2022)

Nonlinear Motion-Guided and Spatio-Temporal Aware Network for Unsupervised Event-Based Optical Flow
by: Liu, Zuntao, et al.
Published: (2025)

Learning Efficient Meshflow and Optical Flow from Event Cameras
by: Luo, Xinglong, et al.
Published: (2025)

Deep Learning-based Image and Video Inpainting: A Survey
by: Quan, Weize, et al.
Published: (2024)

Semantically Consistent Video Inpainting with Conditional Diffusion Models
by: Green, Dylan, et al.
Published: (2024)

GuidPaint: Class-Guided Image Inpainting with Diffusion Models
by: Wang, Qimin, et al.
Published: (2025)

WorldCraft: From Camera Navigation to Object Manipulation in Interactive Video World Models
by: Gu, Bohai, et al.
Published: (2026)

Towards Online Real-Time Memory-based Video Inpainting Transformers
by: Thiry, Guillaume, et al.
Published: (2024)

DreamStereo: Towards Real-Time Stereo Inpainting for HD Videos
by: Huang, Yuan, et al.
Published: (2026)

Weakly-Supervised Affordance Grounding Guided by Part-Level Semantic Priors
by: Xu, Peiran, et al.
Published: (2025)

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution
by: Chen, Zhikai, et al.
Published: (2024)

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning
by: Du, Dazhao, et al.
Published: (2026)

SpatialMe: Stereo Video Conversion Using Depth-Warping and Blend-Inpainting
by: Zhang, Jiale, et al.
Published: (2024)

CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility
by: Zi, Bojia, et al.
Published: (2024)

iDiT-HOI: Inpainting-based Hand Object Interaction Reenactment via Video Diffusion Transformer
by: Shen, Zhelun, et al.
Published: (2025)