Papers with Code 아카이브
Video Generation
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<span style="color:grey; opacity: 0.6">( Various Video Generation Tasks. Gif credit: MaGViT )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DAPE: Dual-Stage Parameter-Efficient Fine-Tuning for Consistent Video Editing with Diffusion Models
ProFashion: Prototype-guided Fashion Video Generation with Multiple Reference Images
T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation
Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights
Real-Time Person Image Synthesis Using a Flow Matching Model
A Unit Enhancement and Guidance Framework for Audio-Driven Avatar Video Generation
DualReal: Adaptive Joint Training for Lossless Identity-Motion Fusion in Video Customization
PosePilot: Steering Camera Pose for Generative World Models with Self-supervised Depth
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis
VideoHallu: Evaluating and Mitigating Multi-modal Hallucinations on Synthetic Video Understanding
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
Capturing Conditional Dependence via Auto-regressive Diffusion Models
HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation
ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction
Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
TesserAct: Learning 4D Embodied World Models
DiVE: Efficient Multi-View Driving Scenes Generation Based on Video Diffusion Transformer
Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation
We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance
Subject-driven Video Generation via Disentangled Identity and Motion
DiTPainter: Efficient Video Inpainting with Diffusion Transformers
Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning
Survey of Video Diffusion Models: Foundations, Implementations, and Applications
Uni3C: Unifying Precisely 3D-Enhanced Camera and Human Motion Controls for Video Generation
DyST-XL: Dynamic Layout Planning and Content Control for Compositional Text-to-Video Generation
Tiger200K: Manually Curated High Visual Quality Video Dataset from UGC Platform
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation
SkyReels-V2: Infinite-length Film Generative Model
The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation
Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM
VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate
OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.