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Video Editing
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Let Your Video Listen to Your Music!
Causally Steered Diffusion for Automated Video Counterfactual Generation
LoRA-Edit: Controllable First-Frame-Guided Video Editing via Mask-Aware LoRA Fine-Tuning
RoboSwap: A GAN-driven Video Diffusion Framework For Unsupervised Robot Arm Swapping
Super Encoding Network: Recursive Association of Multi-Modal Encoders for Video Understanding
FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
FlowDirector: Training-Free Flow Steering for Precise Text-to-Video Editing
FullDiT2: Efficient In-Context Conditioning for Video Diffusion Transformers
MiniMax-Remover: Taming Bad Noise Helps Video Object Removal
Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing
Video Editing for Audio-Visual Dubbing
TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs
SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
From Shots to Stories: LLM-Assisted Video Editing with Unified Language Representations
DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models
Video Forgery Detection for Surveillance Cameras: A Review
A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories
Controllable Weather Synthesis and Removal with Video Diffusion Models
Visual Prompting for One-shot Controllable Video Editing without Inversion
Understanding Attention Mechanism in Video Diffusion Models
DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency
Analysis of Attention in Video Diffusion Transformers
CamMimic: Zero-Shot Image To Camera Motion Personalized Video Generation Using Diffusion Models
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
SketchVideo: Sketch-based Video Generation and Editing
ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025
FreeInv: Free Lunch for Improving DDIM Inversion
InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction
Wan: Open and Advanced Large-Scale Video Generative Models
Zero-Shot Audio-Visual Editing via Cross-Modal Delta Denoising
Resource-Efficient Motion Control for Video Generation via Dynamic Mask Guidance
Shot Sequence Ordering for Video Editing: Benchmarks, Metrics, and Cinematology-Inspired Computing Methods
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.