VINCIE-NExT: Unlocking Video Editing from Images via In-Context Modeling

arXiv:2610.12104 · cs.CV, cs.AI, cs.MM · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.AI, cs.MM

Submitted: 2026-10-08

Updated: 2026-10-08

Project page: https://vincie-next.github.io/S

Terminology

• Consistency — 31× in this paper · explained in 3 episodes
• Diffusion Model — 22× in this paper · explained in 8 episodes
• Diffusion Models — 21× in this paper · explained in 6 episodes
• Temporal consistency — 14× in this paper · explained in 2 episodes
• Ablation — 13× in this paper · explained in 1 episode
• Fidelity — 12× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Test-time Scaling — 11× in this paper · explained in 2 episodes
• Ablation study — 8× in this paper · explained in 1 episode
• Transformer — 7× in this paper · explained in 2 episodes
• Temporal Position Randomization — 6× in this paper
• Core — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Foundation Model — 4× in this paper · explained in 3 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Task Decomposition — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Optical Flow — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Foundation Models — 2× in this paper · explained in 7 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Perceptual Quality — 2× in this paper
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Guided attention — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editing
• VIVID-10M: A Dataset and Baseline for Versatile and Interactive Video Local Editing
• In-Context LoRA for Diffusion Transformers
• EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
• In-Context Learning with Unpaired Clips for Instruction-based Video Editing
• Step1X-Edit: A Practical Framework for General Image Editing
• Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model
• Dreamix: Video Diffusion Models are General Video Editors
• Movie Gen: A Cast of Media Foundation Models
• Seedance 2.0: Advancing Video Generation for World Complexity
• Seedream 4.0: Toward Next-generation Multimodal Image Generation
• Omni-Video: Democratizing Unified Video Understanding and Generation
• Wan: Open and Advanced Large-Scale Video Generative Models
• ModelScope Text-to-Video Technical Report
• Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
• Qwen-Image Technical Report

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