1 citations · 1 across the 11 of their papers we have counts for
13 papers
SyncReward: Human-Aligned Synchronization Reward for Audio-Visual Generation
Kaisi Guan, Ying Ba, Wenjing Wang +4
Recent years have witnessed rapid progress in joint audio--visual generation. However, audio--visual synchronization remains a challenge, as generated speech and sound often tempor…
FATE: Frame-Level Audio-Visual Temporal Embedding
Kaisi Guan, Bingzi Zhang, Xihua Wang +4
When a dog opens its mouth and barks, humans naturally recognize what the sound is and when it occurs. Building audio-visual models with this same ability requires representations…
Unified Synthesis of Compositional Speech and Sound from Free-Form Text Prompts
Yuyue Wang, Xihua Wang, Xin Cheng +2
Audio generation has made significant progress, yet synthesizing unified audio where speech and sounds are naturally composited remains a challenge. Current methods either rely on…
SyncDPO: Enhancing Temporal Synchronization in Video-Audio Joint Generation via Preference Learning
Xin Cheng, Xihua Wang, Ying Ba +5
Recent advancements in video-audio joint generation have achieved remarkable success in semantic correspondence. However, achieving precise temporal synchronization, which requires…
Qwen-Image-2.0 Technical Report
Bing Zhao, Chenfei Wu, Deqing Li +72
We present Qwen-Image-2.0, an omni-capable image generation foundation model that unifies high-fidelity generation and precise image editing within a single framework. Despite rece…
VSpeechLM: A Visual Speech Language Model for Visual Text-to-Speech Task
Yuyue Wang, Xin Cheng, Yihan Wu +3
The task of Visual Text-to-Speech (VisualTTS), also known as video dubbing, aims to generate speech synchronized with the lip movements in an input video, in additional to being co…
Taming Text-to-Sounding Video Generation via Advanced Modality Condition and Interaction
Kaisi Guan, Xihua Wang, Zhengfeng Lai +5
This study focuses on a challenging yet promising task, Text-to-Sounding-Video (T2SV) generation, which aims to generate a video with synchronized audio from text conditions, meanw…
VSSFlow: Unifying Video-conditioned Sound and Speech Generation via Joint Learning
Xin Cheng, Yuyue Wang, Xihua Wang +7
Video-conditioned audio generation, including Video-to-Sound (V2S) and Visual Text-to-Speech (VisualTTS), has traditionally been treated as distinct tasks, leaving the potential fo…
Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization
Yihan Wu, Yichen Lu, Yifan Peng +3
Audiovisual Automatic Speech Recognition (AV-ASR) aims to improve speech recognition accuracy by leveraging visual signals. It is particularly challenging in unconstrained real-wor…
Two-in-One: Unified Multi-Person Interactive Motion Generation by Latent Diffusion Transformer
Boyuan Li, Xihua Wang, Ruihua Song +1
Multi-person interactive motion generation, a critical yet under-explored domain in computer character animation, poses significant challenges such as intricate modeling of inter-h…
LoVA: Long-form Video-to-Audio Generation
Xin Cheng, Xihua Wang, Yihan Wu +2
Video-to-audio (V2A) generation is important for video editing and post-processing, enabling the creation of semantics-aligned audio for silent video. However, most existing method…
SpeechComposer: Unifying Multiple Speech Tasks with Prompt Composition
Yihan Wu, Soumi Maiti, Yifan Peng +6
Recent advancements in language models have significantly enhanced performance in multiple speech-related tasks. Existing speech language models typically utilize task-dependent pr…
TeViS:Translating Text Synopses to Video Storyboards
Xu Gu, Yuchong Sun, Feiyue Ni +5
A video storyboard is a roadmap for video creation which consists of shot-by-shot images to visualize key plots in a text synopsis. Creating video storyboards, however, remains cha…