Papers with Code 아카이브
Motion Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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Creating a video where people in the images move (such as blinking or smiling) requires specialized AI technology like Deepfake or Motion Synthesis, which I cannot do directly here.
However, if you want a video made from the images you provided, I can create an animated slideshow with cute effects and royalty-free background music. Would you be interested in this?
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DeepGesture: A conversational gesture synthesis system based on emotions and semantics
VolumetricSMPL: A Neural Volumetric Body Model for Efficient Interactions, Contacts, and Collisions
DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling
PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis
Motion-R1: Chain-of-Thought Reasoning and Reinforcement Learning for Human Motion Generation
DanceChat: Large Language Model-Guided Music-to-Dance Generation
SILK: Smooth InterpoLation frameworK for motion in-betweening A Simplified Computational Approach
MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation
MotionPro: A Precise Motion Controller for Image-to-Video Generation
One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion
UniHM: Universal Human Motion Generation with Object Interactions in Indoor Scenes
Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion
Text-driven Motion Generation: Overview, Challenges and Directions
Dyadic Mamba: Long-term Dyadic Human Motion Synthesis
M3G: Multi-Granular Gesture Generator for Audio-Driven Full-Body Human Motion Synthesis
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
Efficient Listener: Dyadic Facial Motion Synthesis via Action Diffusion
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
Sketch2Anim: Towards Transferring Sketch Storyboards into 3D Animation
Separate to Collaborate: Dual-Stream Diffusion Model for Coordinated Piano Hand Motion Synthesis
MotionDreamer: One-to-Many Motion Synthesis with Localized Generative Masked Transformer
DanceMosaic: High-Fidelity Dance Generation with Multimodal Editability
Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance
Articulated Kinematics Distillation from Video Diffusion Models
StyleMotif: Multi-Modal Motion Stylization using Style-Content Cross Fusion
ReCoM: Realistic Co-Speech Motion Generation with Recurrent Embedded Transformer
Target-Aware Video Diffusion Models
SceneMI: Motion In-betweening for Modeling Human-Scene Interactions
Less is More: Improving Motion Diffusion Models with Sparse Keyframes
Reinforcement learning-based motion imitation for physiologically plausible musculoskeletal motor control
Motion Synthesis with Sparse and Flexible Keyjoint Control
Versatile Physics-based Character Control with Hybrid Latent Representation
PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.