activity
20202026
most citedFOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction

13 citations · 31 across the 21 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CV2024

Learning Adaptive Lighting via Channel-Aware Guidance

Qirui Yang, Peng-Tao Jiang, Hao Zhang +4

Learning lighting adaptation is a crucial step in achieving good visual perception and supporting downstream vision tasks. Current research often addresses individual light-related…

cs.CV2024

Learning Differential Pyramid Representation for Tone Mapping

Qirui Yang, Yinbo Li, Yihao Liu +5

Existing tone mapping methods operate on downsampled inputs and rely on handcrafted pyramids to recover high-frequency details. These designs typically fail to preserve fine textur…

cs.CV2024

Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model

Cong Cao, Huanjing Yue, Xin Liu +1

Diffusion-based zero-shot image restoration and enhancement models have achieved great success in various tasks of image restoration and enhancement. However, directly applying the…

cs.CV2024

DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion

Chunyang Bi, Xin Luo, Sheng Shen +3

Diffusion models, known for their powerful generative capabilities, play a crucial role in addressing real-world super-resolution challenges. However, these models often focus on i…

cs.CV2024★ 1 cited

AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors

Kaishen Yuan, Zitong Yu, Xin Liu +3

Facial Action Units (AU) is a vital concept in the realm of affective computing, and AU detection has always been a hot research topic. Existing methods suffer from overfitting iss…

cs.CV2024★ 3 cited

A Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection

Chao Hao, Zitong Yu, Xin Liu +3

Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades. Though shar…

cs.CV2024

KeDuSR: Real-World Dual-Lens Super-Resolution via Kernel-Free Matching

Huanjing Yue, Zifan Cui, Kun Li +1

Dual-lens super-resolution (SR) is a practical scenario for reference (Ref) based SR by utilizing the telephoto image (Ref) to assist the super-resolution of the low-resolution wid…