most citedVersatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

6 citations · 22 across the 6 of their papers we have counts for

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cs.CV20236 cited

Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD Space

Haoyu Wang, Haozhe Wu, Junliang Xing +1

Creating realistic 3D facial animation is crucial for various applications in the movie production and gaming industry, especially with the burgeoning demand in the metaverse. Howe…

cs.CV20235 cited

Semantics2Hands: Transferring Hand Motion Semantics between Avatars

Zijie Ye, Jia Jia, Junliang Xing

Human hands, the primary means of non-verbal communication, convey intricate semantics in various scenarios. Due to the high sensitivity of individuals to hand motions, even minor…

cs.CV2023

Speech-Driven 3D Face Animation with Composite and Regional Facial Movements

Haozhe Wu, Songtao Zhou, Jia Jia +3

Speech-driven 3D face animation poses significant challenges due to the intricacy and variability inherent in human facial movements. This paper emphasizes the importance of consid…

cs.CV20232 cited

DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images

Xuechao Zou, Kai Li, Junliang Xing +4

Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis. Consequently, effectively remo…

cs.CV20234 cited

SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation

Shikun Sun, Longhui Wei, Junliang Xing +2

Recent score-based diffusion models (SBDMs) show promising results in unpaired image-to-image translation (I2I). However, existing methods, either energy-based or statistically-bas…

cs.CV2023

High-Fidelity Lake Extraction via Two-Stage Prompt Enhancement: Establishing a Novel Baseline and Benchmark

Ben Chen, Xuechao Zou, Kai Li +3

Lake extraction from remote sensing imagery is a complex challenge due to the varied lake shapes and data noise. Current methods rely on multispectral image datasets, making it cha…