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20232026
most citedA discovery of Two Slow Pulsars with FAST: "Ronin" from the Globular Cluster M15

19 citations · 45 across the 17 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024

VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis

Hao Chen, Jiafu Wu, Ying Jin +7

Recently, methods like Zero-1-2-3 have focused on single-view based 3D reconstruction and have achieved remarkable success. However, their predictions for unseen areas heavily rely…

cs.HC2024★ 1 cited

MambaGesture: Enhancing Co-Speech Gesture Generation with Mamba and Disentangled Multi-Modality Fusion

Chencan Fu, Yabiao Wang, Jiangning Zhang +7

Co-speech gesture generation is crucial for producing synchronized and realistic human gestures that accompany speech, enhancing the animation of lifelike avatars in virtual enviro…

cs.CV2024★ 6 cited

MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation

Xiaofeng Mao, Zhengkai Jiang, Qilin Wang +7

Recent advancements in the field of Diffusion Transformers have substantially improved the generation of high-quality 2D images, 3D videos, and 3D shapes. However, the effectivenes…

cs.CV2024★ 1 cited

TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation

Yabiao Wang, Shuo Wang, Jiangning Zhang +4

Human-human motion generation is essential for understanding humans as social beings. Current methods fall into two main categories: single-person-based methods and separate modeli…

cs.CV2024★ 1 cited

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation

Ying Jin, Jinlong Peng, Qingdong He +8

The performance of anomaly inspection in industrial manufacturing is constrained by the scarcity of anomaly data. To overcome this challenge, researchers have started employing ano…

cs.CV2024

AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval

Sihe Zhang, Qingdong He, Jinlong Peng +6

Image retrieval aims to identify visually similar images within a database using a given query image. Traditional methods typically employ both global and local features extracted…