ALIVE: Interaction-Aligned Object Insertion for First-Frame-Guided Video Editing
cs.CV
Submitted: 2026-10-06
Updated: 2026-10-06
Comments: Project page: https://real-time-video-research.github.io/alive/
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- EffectErase: Joint Video Object Removal and Insertion for High-Quality Effect Erasing
- PISCO: Precise Video Instance Insertion with Sparse Control
- LTX-2: Efficient Joint Audio-Visual Foundation Model
- OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editing
- LoRA: Low-Rank Adaptation of Large Language Models
- Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
- SpaceTimePilot: Generative Rendering of Dynamic Scenes Across Space and Time
- AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
- Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing
- Kiwi-Edit: Versatile Video Editing via Instruction and Reference Guidance
- Flow Matching for Generative Modeling
- From Understanding to Erasing: Towards Complete and Stable Video Object Removal
- EgoPlay: Event-Triggered Video Editing for Egocentric Streams
- ROSE: Remove Objects with Side Effects in Videos
- DINOv2: Learning Robust Visual Features without Supervision
- NOVA: Sparse Control, Dense Synthesis for Pair-Free Video Editing
- Wan: Open and Advanced Large-Scale Video Generative Models
- JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
- Omni-Video 2: Scaling MLLM-Conditioned Diffusion for Unified Video Generation and Editing
- UNIC: Unified In-Context Video Editing
Related papers
- Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
- AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
- Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
- MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
- TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
- A Survey on Efficient Vision-Language-Action Models