VibeAvatar: Aligning Phonetic Kinematics and Human Aesthetics for High-Fidelity Talking Avatar Synthesis

arXiv:2609.18632 · cs.CV · Submitted 2026-09-16 · Read on arXiv

cs.CV

Submitted: 2026-09-16

Updated: 2026-09-16

Project page: https://kelu007.github.io/vibe-avatar

Terminology

• Diffusion Model — 12× in this paper · explained in 8 episodes
• Diffusion Models — 11× in this paper · explained in 6 episodes
• Fidelity — 10× in this paper · explained in 2 episodes
• GRPO — 10× in this paper · explained in 6 episodes
• Transformer — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Aesthetic Motion Policy — 8× in this paper
• Alignment — 8× in this paper · explained in 1 episode
• Phonetic Kinematics Adapter — 6× in this paper
• Ablation — 5× in this paper · explained in 1 episode
• Latent Space — 5× in this paper · explained in 7 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Core — 4× in this paper · explained in 2 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 3 episodes
• Rectified Flow — 3× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Flow Matching — 2× in this paper · explained in 8 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Two-Stage Training Strategy — 2× in this paper · explained in 3 episodes
• Two-stage training — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
• Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
• Wan-S2V: Audio-Driven Cinematic Video Generation
• AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
• Prompt-to-Prompt Image Editing with Cross Attention Control
• Loopy: Taming Audio-Driven Portrait Avatar with Long-Term Motion Dependency
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• LatentSync: Taming Audio-Conditioned Latent Diffusion Models for Lip Sync with SyncNet Supervision
• Improving Video Generation with Human Feedback
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models
• Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Make-A-Video: Text-to-Video Generation without Text-Video Data
• Denoising Diffusion Implicit Models
• Score-Based Generative Modeling through Stochastic Differential Equations
• Towards Accurate Generative Models of Video: A New Metric & Challenges
• Wan: Open and Advanced Large-Scale Video Generative Models
• V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation
• Latent Image Animator: Learning to Animate Images via Latent Space Navigation

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