Cover Image

CCEdit: Creative and Controllable Video Editing via Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Feng, Ruoyu, Weng, Wenming, Wang, Yanhui, Yuan, Yuhui, Bao, Jianmin, Luo, Chong, Chen, Zhibo, Guo, Baining
Format:	Preprint
Published:	2023
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

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
by: Wang, Yanhui, et al.
Published: (2023)

GlobalPaint: Spatiotemporal Coherent Video Outpainting with Global Feature Guidance
by: Pan, Yueming, et al.
Published: (2026)

Diffusion Models without Classifier-free Guidance
by: Tang, Zhicong, et al.
Published: (2025)

Efficient Diffusion Training via Min-SNR Weighting Strategy
by: Hang, Tiankai, et al.
Published: (2023)

VolumeDiffusion: Flexible Text-to-3D Generation with Efficient Volumetric Encoder
by: Tang, Zhicong, et al.
Published: (2023)

Streaming Video Diffusion: Online Video Editing with Diffusion Models
by: Chen, Feng, et al.
Published: (2024)

MageBench: Bridging Large Multimodal Models to Agents
by: Zhang, Miaosen, et al.
Published: (2024)

FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation
by: Mu, Xinzhi, et al.
Published: (2024)

Gaussian Variation Field Diffusion for High-fidelity Video-to-4D Synthesis
by: Zhang, Bowen, et al.
Published: (2025)

CCA: Collaborative Competitive Agents for Image Editing
by: Hang, Tiankai, et al.
Published: (2024)

Semantic Image Synthesis via Diffusion Models
by: Zhou, Wengang, et al.
Published: (2022)

Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
by: Pan, Yueming, et al.
Published: (2025)

High-Fidelity Diffusion-based Image Editing
by: Hou, Chen, et al.
Published: (2023)

Taming Flow-based I2V Models for Creative Video Editing
by: Kong, Xianghao, et al.
Published: (2025)

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

Controllable-Continuous Color Editing in Diffusion Model via Color Mapping
by: Yang, Yuqi, et al.
Published: (2025)

AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
by: Yang, Biao, et al.
Published: (2025)

InsEdit: Towards Instruction-based Visual Editing via Data-Efficient Video Diffusion Models Adaptation
by: Rao, Zhefan, et al.
Published: (2026)

Video Editing via Factorized Diffusion Distillation
by: Singer, Uriel, et al.
Published: (2024)

VideoDirector: Precise Video Editing via Text-to-Video Models
by: Wang, Yukun, et al.
Published: (2024)

CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation
by: Li, Peng, et al.
Published: (2025)

FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
by: Wu, Wei, et al.
Published: (2024)

Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework
by: Song, Xinyuan, et al.
Published: (2025)

Training-free Camera Control for Video Generation
by: Hou, Chen, et al.
Published: (2024)

VisualCritic: Making LMMs Perceive Visual Quality Like Humans
by: Huang, Zhipeng, et al.
Published: (2024)

360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
by: Wang, Qian, et al.
Published: (2024)

Re-Attentional Controllable Video Diffusion Editing
by: Wang, Yuanzhi, et al.
Published: (2024)

EffiVED:Efficient Video Editing via Text-instruction Diffusion Models
by: Zhang, Zhenghao, et al.
Published: (2024)

Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation
by: Bu, Yuyan, et al.
Published: (2025)

Temporal-Consistent Video Restoration with Pre-trained Diffusion Models
by: Wang, Hengkang, et al.
Published: (2025)

Improved Noise Schedule for Diffusion Training
by: Hang, Tiankai, et al.
Published: (2024)

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation
by: Liang, Sen, et al.
Published: (2025)

GTA: Advancing Image-to-3D World Generation via Geometry Then Appearance Video Diffusion
by: Zhu, Hanxin, et al.
Published: (2026)

Semantically Structured Image Compression via Irregular Group-Based Decoupling
by: Feng, Ruoyu, et al.
Published: (2023)

I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
by: Ouyang, Wenqi, et al.
Published: (2024)

REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents
by: Tian, Rui, et al.
Published: (2024)

MotionFollower: Editing Video Motion via Lightweight Score-Guided Diffusion
by: Tu, Shuyuan, et al.
Published: (2024)

Neural Video Fields Editing
by: Yang, Shuzhou, et al.
Published: (2023)

Incorporating Pre-trained Diffusion Models in Solving the Schrödinger Bridge Problem
by: Tang, Zhicong, et al.
Published: (2025)

LaMD: Latent Motion Diffusion for Image-Conditional Video Generation
by: Hu, Yaosi, et al.
Published: (2023)