3 citations · 5 across the 8 of their papers we have counts for
9 papers
InstantRetouch: Efficient and High-Fidelity Instruction-Guided Image Retouching with Bilateral Space
Jiarui Wu, Yujin Wang, Ruikang Li +3
Language-guided photo retouching aims to adjust color and tone while preserving geometry and texture. Recently, diffusion-based retouching shows a superior visual quality, but ofte…
AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes
Tianyi Xu, Fan Zhang, Boxin Shi +2
Mainstream high dynamic range imaging techniques typically rely on fusing multiple images captured with different exposure setups (shutter speed and ISO). A good balance between sh…
S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
Yujin Wang, Jiarui Wu, Yichen Bian +2
The generalization of learning-based high dynamic range (HDR) fusion is often limited by the availability of training data, as collecting large-scale HDR images from dynamic scenes…
EGVD: Event-Guided Video Diffusion Model for Physically Realistic Large-Motion Frame Interpolation
Ziran Zhang, Xiaohui Li, Yihao Liu +4
Video frame interpolation (VFI) in scenarios with large motion remains challenging due to motion ambiguity between frames. While event cameras can capture high temporal resolution…
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning
Jiarui Wu, Yujin Wang, Lingen Li +2
Photo finishing tuning aims to automate the manual tuning process of the photo finishing pipeline, like Adobe Lightroom or Darktable. Previous works either use zeroth-order optimiz…
UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion
Zixuan Chen, Yujin Wang, Xin Cai +5
Capturing high dynamic range (HDR) scenes is one of the most important issues in camera design. Majority of cameras use exposure fusion, which fuses images captured by different ex…
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection
Yujin Wang, Tianyi Xu, Fan Zhang +2
Image Signal Processors (ISPs) convert raw sensor signals into digital images, which significantly influence the image quality and the performance of downstream computer vision tas…
DualDn: Dual-domain Denoising via Differentiable ISP
Ruikang Li, Yujin Wang, Shiqi Chen +3
Image denoising is a critical component in a camera's Image Signal Processing (ISP) pipeline. There are two typical ways to inject a denoiser into the ISP pipeline: applying a deno…
HDRFlow: Real-Time HDR Video Reconstruction with Large Motions
Gangwei Xu, Yujin Wang, Jinwei Gu +2
Reconstructing High Dynamic Range (HDR) video from image sequences captured with alternating exposures is challenging, especially in the presence of large camera or object motion.…