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Gesture Generation
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Generation of gestures, as a sequence of 3d poses
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Intentional Gesture: Deliver Your Intentions with Gestures for Speech
M3G: Multi-Granular Gesture Generator for Audio-Driven Full-Body Human Motion Synthesis
Inter-Diffusion Generation Model of Speakers and Listeners for Effective Communication
Co$^{3}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion
EchoMask: Speech-Queried Attention-based Mask Modeling for Holistic Co-Speech Motion Generation
EasyGenNet: An Efficient Framework for Audio-Driven Gesture Video Generation Based on Diffusion Model
Audio-driven Gesture Generation via Deviation Feature in the Latent Space
SARGes: Semantically Aligned Reliable Gesture Generation via Intent Chain
DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from Speech
MAG: Multi-Modal Aligned Autoregressive Co-Speech Gesture Generation without Vector Quantization
Large Language Models for Virtual Human Gesture Selection
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion
HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation
VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPS
Contextual Gesture: Co-Speech Gesture Video Generation through Context-aware Gesture Representation
GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling
EMO2: End-Effector Guided Audio-Driven Avatar Video Generation
SemTalk: Holistic Co-speech Motion Generation with Frame-level Semantic Emphasis
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
Retrieving Semantics from the Deep: an RAG Solution for Gesture Synthesis
DiM-Gestor: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2
Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios
Large Body Language Models
Emphasizing Semantic Consistency of Salient Posture for Speech-Driven Gesture Generation
ExpGest: Expressive Speaker Generation Using Diffusion Model and Hybrid Audio-Text Guidance
Towards a GENEA Leaderboard -- an Extended, Living Benchmark for Evaluating and Advancing Conversational Motion Synthesis
LLM Gesticulator: Leveraging Large Language Models for Scalable and Controllable Co-Speech Gesture Synthesis
Enabling Synergistic Full-Body Control in Prompt-Based Co-Speech Motion Generation
MM-Conv: A Multi-modal Conversational Dataset for Virtual Humans
2D or not 2D: How Does the Dimensionality of Gesture Representation Affect 3D Co-Speech Gesture Generation?
Incorporating Spatial Awareness in Data-Driven Gesture Generation for Virtual Agents
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation
DiM-Gesture: Co-Speech Gesture Generation with Adaptive Layer Normalization Mamba-2 framework
MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls
Investigating the impact of 2D gesture representation on co-speech gesture generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.