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20242026
most citedDiff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration

2 citations · 6 across the 8 of their papers we have counts for

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cs.CV2026

Decoupled Self-Forcing Distillation for Streaming Talking Head Generation

Yanru An, Ruiyan Wang, Wenwu Wei +7

Streaming talking-head generation produces each frame as its driving audio arrives, yet fidelity and efficiency have so far pulled in opposite directions: end-to-end methods condit…

cs.CV2026

SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors

Bing He, Jingnan Gao, Yunuo Chen +5

Reconstructing 3D scenes from sparse images remains a challenging task due to the difficulty of recovering accurate geometry and texture without optimization. Recent approaches lev…

cs.CV20251 cited

MultiEgo: A Multi-View Egocentric Video Dataset for 4D Scene Reconstruction

Bate Li, Houqiang Zhong, Zhengxue Cheng +4

Multi-view egocentric dynamic scene reconstruction holds significant research value for applications in holographic documentation of social interactions. However, existing reconstr…

cs.CV20241 cited

Face De-identification: State-of-the-art Methods and Comparative Studies

Jingyi Cao, Xiangyi Chen, Bo Liu +5

The widespread use of image acquisition technologies, along with advances in facial recognition, has raised serious privacy concerns. Face de-identification usually refers to the p…

cs.CV2024

H3D-DGS: Exploring Heterogeneous 3D Motion Representation for Deformable 3D Gaussian Splatting

Bing He, Yunuo Chen, Guo Lu +5

Dynamic scene reconstruction poses a persistent challenge in 3D vision. Deformable 3D Gaussian Splatting has emerged as an effective method for this task, offering real-time render…

cs.CV20242 cited

Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration

Yuhong Zhang, Hengsheng Zhang, Xinning Chai +4

Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc. How…