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20232025
most citedOracle Bone Inscriptions Multi-modal Dataset

3 citations · 9 across the 20 of their papers we have counts for

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Showing 2024Show all

12 papers · 1 filter

cs.CV2024★ 1 cited

FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on

Boyuan Jiang, Xiaobin Hu, Donghao Luo +7

Although image-based virtual try-on has made considerable progress, emerging approaches still encounter challenges in producing high-fidelity and robust fitting images across diver…

cs.MM2024★ 1 cited

Sonic: Shifting Focus to Global Audio Perception in Portrait Animation

Xiaozhong Ji, Xiaobin Hu, Zhihong Xu +9

The study of talking face generation mainly explores the intricacies of synchronizing facial movements and crafting visually appealing, temporally-coherent animations. However, due…

cs.CV2024

Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing

Pengcheng Xu, Boyuan Jiang, Xiaobin Hu +7

Leveraging the large generative prior of the flow transformer for tuning-free image editing requires authentic inversion to project the image into the model's domain and a flexible…

cs.CV2024

VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding

Yujie Liang, Xiaobin Hu, Boyuan Jiang +5

Although diffusion-based image virtual try-on has made considerable progress, emerging approaches still struggle to effectively address the issue of hand occlusion (i.e., clothing…

cs.CV2024★ 3 cited

Oracle Bone Inscriptions Multi-modal Dataset

Bang Li, Donghao Luo, Yujie Liang +17

Oracle bone inscriptions(OBI) is the earliest developed writing system in China, bearing invaluable written exemplifications of early Shang history and paleography. However, the ta…

cs.CV2024★ 2 cited

DF40: Toward Next-Generation Deepfake Detection

Zhiyuan Yan, Taiping Yao, Shen Chen +8

We propose a new comprehensive benchmark to revolutionize the current deepfake detection field to the next generation. Predominantly, existing works identify top-notch detection al…

cs.CV2024

CustAny: Customizing Anything from A Single Example

Lingjie Kong, Kai Wu, Xiaobin Hu +8

Recent advances in diffusion-based text-to-image models have simplified creating high-fidelity images, but preserving the identity (ID) of specific elements, like a personal dog, i…

cs.CV2024

NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models

Kai Wu, Boyuan Jiang, Zhengkai Jiang +5

Multimodal large language models (MLLMs) contribute a powerful mechanism to understanding visual information building on large language models. However, MLLMs are notorious for suf…

cs.CV2024

ArtWeaver: Advanced Dynamic Style Integration via Diffusion Model

Chengming Xu, Kai Hu, Qilin Wang +5

Stylized Text-to-Image Generation (STIG) aims to generate images from text prompts and style reference images. In this paper, we present ArtWeaver, a novel framework that leverages…

cs.CV2024

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models

Qingdong He, Jinlong Peng, Zhengkai Jiang +2

Recent success of vision foundation models have shown promising performance for the 2D perception tasks. However, it is difficult to train a 3D foundation network directly due to t…

cs.CV2024

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

Xiaobin Hu, Xu Peng, Donghao Luo +7

Due to the difficulty and labor-consuming nature of getting highly accurate or matting annotations, there only exists a limited amount of highly accurate labels available to the pu…

cs.CV2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation

Qingdong He, Jinlong Peng, Zhengkai Jiang +7

3D open-vocabulary scene understanding aims to recognize arbitrary novel categories beyond the base label space. However, existing works not only fail to fully utilize all the avai…