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20232026
most citedTeViS:Translating Text Synopses to Video Storyboards

1 citations · 1 across the 11 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2023★ 1 cited

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…