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20222026
most citedRQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation

17 citations · 47 across the 35 of their papers we have counts for

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Showing 2024 · cs.CVShow all

6 papers · 2 filters

cs.CV2024

SINGER: Vivid Audio-driven Singing Video Generation with Multi-scale Spectral Diffusion Model

Yan Li, Ziya Zhou, Zhiqiang Wang +3

Recent advancements in generative models have significantly enhanced talking face video generation, yet singing video generation remains underexplored. The differences between huma…

cs.CV2024★ 1 cited

Foundation Cures Personalization: Improving Personalized Models' Prompt Consistency via Hidden Foundation Knowledge

Yiyang Cai, Zhengkai Jiang, Yulong Liu +4

Facial personalization faces challenges to maintain identity fidelity without disrupting the foundation model's prompt consistency. The mainstream personalization models employ ide…

cs.CV2024★ 2 cited

PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

Peng Li, Wangguandong Zheng, Yuan Liu +9

Detailed and photorealistic 3D human modeling is essential for various applications and has seen tremendous progress. However, full-body reconstruction from a monocular RGB image r…

cs.CV2024★ 1 cited

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions

Xiaowei Chi, Yatian Wang, Aosong Cheng +16

Massive multi-modality datasets play a significant role in facilitating the success of large video-language models. However, current video-language datasets primarily provide text…

cs.CV2024

Multi-View Large Reconstruction Model via Geometry-Aware Positional Encoding and Attention

Mengfei Li, Xiaoxiao Long, Yixun Liang +6

Despite recent advancements in the Large Reconstruction Model (LRM) demonstrating impressive results, when extending its input from single image to multiple images, it exhibits ine…

cs.CV2024

VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling

Zeyue Tian, Zhaoyang Liu, Ruibin Yuan +6

In this work, we systematically study music generation conditioned solely on the video. First, we present a large-scale dataset comprising 360K video-music pairs, including various…