8 papers
CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
Chongyi Li, Chunle Guo, Ruicheng Feng +2
We present Curve Distillation, CuDi, for efficient and controllable exposure adjustment without the requirement of paired or unpaired data during training. Our method inherits the…
3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics Based Appearance-Medium Decoupling
Jieyu Yuan, Yujun Li, Yuanlin Zhang +4
Novel view synthesis for underwater scene reconstruction presents unique challenges due to complex light-media interactions. Optical scattering and absorption in water body bring i…
ViDA-UGC: Detailed Image Quality Analysis via Visual Distortion Assessment for UGC Images
Wenjie Liao, Jieyu Yuan, Yifang Xu +8
Recent advances in Multimodal Large Language Models (MLLMs) have introduced a paradigm shift for Image Quality Assessment (IQA) from unexplainable image quality scoring to explaina…
TimeMachine: Fine-Grained Facial Age Editing with Identity Preservation
Yilin Mi, Qixin Yan, Zheng-Peng Duan +5
With the advancement of generative models, facial image editing has made significant progress. However, achieving fine-grained age editing while preserving personal identity remain…
DIPO: Dual-State Images Controlled Articulated Object Generation Powered by Diverse Data
Ruiqi Wu, Xinjie Wang, Liu Liu +6
We present DIPO, a novel framework for the controllable generation of articulated 3D objects from a pair of images: one depicting the object in a resting state and the other in an…
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable
Xin Jin, Simon Niklaus, Zhoutong Zhang +5
Denoising is a crucial step in many video processing pipelines such as in interactive editing, where high quality, speed, and user control are essential. While recent approaches ac…