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20202023
most citedIMF: Interactive Multimodal Fusion Model for Link Prediction

104 citations · 217 across the 27 of their papers we have counts for

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Showing 2023Show all

13 papers · 1 filter

cs.CV2023

ToonTalker: Cross-Domain Face Reenactment

Yuan Gong, Yong Zhang, Xiaodong Cun +5

We target cross-domain face reenactment in this paper, i.e., driving a cartoon image with the video of a real person and vice versa. Recently, many works have focused on one-shot t…

astro-ph.GA2023★ 12 cited

Machine-learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons

Zhisen Meng, Yong Zhang, Enwei Liang +1

Machine learning feature importance calculations are used to determine the molecular substructures that are responsible for mid and far-infrared (IR) emission features of neutral p…

cs.CV2023★ 5 cited

Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation

Yingqing He, Menghan Xia, Haoxin Chen +8

Generating videos for visual storytelling can be a tedious and complex process that typically requires either live-action filming or graphics animation rendering. To bypass these c…

cs.CV2023★ 2 cited

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

Wangbo Yu, Yanbo Fan, Yong Zhang +8

3D facial avatar reconstruction has been a significant research topic in computer graphics and computer vision, where photo-realistic rendering and flexible controls over poses and…

cs.IR2023

OpenSiteRec: An Open Dataset for Site Recommendation

Xinhang Li, Xiangyu Zhao, Yejing Wang +5

As a representative information retrieval task, site recommendation, which aims at predicting the optimal sites for a brand or an institution to open new branches in an automatic d…

cs.CV2023★ 2 cited

Make-Your-Video: Customized Video Generation Using Textual and Structural Guidance

Jinbo Xing, Menghan Xia, Yuxin Liu +9

Creating a vivid video from the event or scenario in our imagination is a truly fascinating experience. Recent advancements in text-to-video synthesis have unveiled the potential t…

cs.CV2023★ 12 cited

Inserting Anybody in Diffusion Models via Celeb Basis

Ge Yuan, Xiaodong Cun, Yong Zhang +5

Exquisite demand exists for customizing the pretrained large text-to-image model, , Stable Diffusion, to generate innovative concepts, such as the users themselves.…

cs.CV2023★ 1 cited

TaleCrafter: Interactive Story Visualization with Multiple Characters

Yuan Gong, Youxin Pang, Xiaodong Cun +8

Accurate Story visualization requires several necessary elements, such as identity consistency across frames, the alignment between plain text and visual content, and a reasonable…

cs.CV2023★ 1 cited

High-Fidelity Clothed Avatar Reconstruction from a Single Image

Tingting Liao, Xiaomei Zhang, Yuliang Xiu +7

This paper presents a framework for efficient 3D clothed avatar reconstruction. By combining the advantages of the high accuracy of optimization-based methods and the efficiency of…

cs.CL2023★ 12 cited

NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions

Rindranirina Ramamonjison, Timothy T. Yu, Raymond Li +8

The Natural Language for Optimization (NL4Opt) Competition was created to investigate methods of extracting the meaning and formulation of an optimization problem based on its text…

cs.AI2023★ 104 cited

IMF: Interactive Multimodal Fusion Model for Link Prediction

Xinhang Li, Xiangyu Zhao, Jiaxing Xu +2

Link prediction aims to identify potential missing triples in knowledge graphs. To get better results, some recent studies have introduced multimodal information to link prediction…

cs.CV2023★ 2 cited

CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying

Weihuang Liu, Xiaodong Cun, Chi-Man Pun +3

Image inpainting aims to fill the missing hole of the input. It is hard to solve this task efficiently when facing high-resolution images due to two reasons: (1) Large reception fi…

cs.CV2023★ 10 cited

FateZero: Fusing Attentions for Zero-shot Text-based Video Editing

Chenyang Qi, Xiaodong Cun, Yong Zhang +4

The diffusion-based generative models have achieved remarkable success in text-based image generation. However, since it contains enormous randomness in generation progress, it is…