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TAG: Structured Temporal Audio Generation via LLM-Guided Manual Scription and Control
音频生成 | 7.5/10
扩散模型
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Taming Audio VAEs via Target-KL Regularization
音频生成 | 6.5/10
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Tldiffgan: A Latent Diffusion-Gan Framework with Temporal Information Fusion for Anomalous Sound Detection
音频事件检测 | 7.5/10
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Towards Multi-View Hierarchical Video-to-Piano Generation with MIDI Guidance
音乐生成 | 7.0/10
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Training-Free Multimodal Guidance for Video to Audio Generation
音频生成 | 8.0/10
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Virtual Consistency for Audio Editing
音乐生成 | 8.0/10
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Visual Keys to Symphonies: Latent Diffusion for Multi-Scene Video-to-Music Generation
音乐生成 | 7.5/10
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ViTex: Visual Texture Control for Multi-Track Symbolic Music Generation via Discrete Diffusion Models
音乐生成 | 7.0/10
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VividTalker: A Modular Framework for Expressive 3D Talking Avatars with Controllable Gaze and Blink
语音合成 | 7.5/10
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VMSP: Video-to-Music Generation with Two-Stage Alignment and Synthesis
音乐生成 | 7.0/10
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VT-Heads: Voice Cloning and Talking Head Generation from Text Based on V-DiT
视频生成 | 6.5/10
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Wave-Trainer-Fit: Neural Vocoder With Trainable Prior And Fixed-Point Iteration Towards High-Quality Speech Generation From SSL Features
语音合成 | 7.0/10
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Wavenext 2: Convnext-Based Fast Neural Vocoders with Residual Denoising and Sub-Modeling for Gan And Diffusion Models
语音合成 | 9.0/10
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CineAGI: Character-Consistent Movie Creation through LLM-Orchestrated Multi-Modal Generation and Cross-Scene Integration
跨模态 | 8.0/10
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Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation
音视频 | 8.5/10
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Scaling Properties of Continuous Diffusion Spoken Language Models
语音生成 | 8.0/10
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Talker-T2AV: Joint Talking Audio-Video Generation with Autoregressive Diffusion Modeling
语音合成 | 7.5/10
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UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions
音频生成 | 8.5/10
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Video-Robin: Autoregressive Diffusion Planning for Intent-Grounded Video-to-Music Generation
音乐生成 | 7.0/10
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CoInteract: Physically-Consistent Human-Object Interaction Video Synthesis via Spatially-Structured Co-Generation
1. **问题**：现有视频扩散模型在生成人机交互（HOI）视频时，常出现手/脸结构崩溃和人机物理穿透等问题，根源在于模型缺乏对3D空间关系和交互结构的理解。 2. **方法核心**：提出CoInteract框架，核心是“空间结构化协同生成”范式。在一个共享的DiT骨干中联合训练RGB外观流和辅助的