5 citations · 10 across the 7 of their papers we have counts for
7 papers
Can Nano Banana 2 Replace Traditional Image Restoration Models? An Evaluation of Its Performance on Image Restoration Tasks
Weixiong Sun, Xiang Yin, Chao Dong
Recent advances in generative AI raise the question of whether general-purpose image editing models can serve as unified solutions for image restoration. We conduct a systematic ev…
How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices
Xiang Yin, Jinfan Hu, Zhiyuan You +4
Generative Image Restoration (GIR) has achieved impressive perceptual realism, but how far have its practical capabilities truly advanced compared with previous methods? To answer…
Non-Deterministic Face Mask Removal Based On 3D Priors
Xiangnan Yin, Liming Chen
This paper presents a novel image inpainting framework for face mask removal. Although current methods have demonstrated their impressive ability in recovering damaged face images,…
FaceOcc: A Diverse, High-quality Face Occlusion Dataset for Human Face Extraction
Xiangnan Yin, Liming Chen
Occlusions often occur in face images in the wild, troubling face-related tasks such as landmark detection, 3D reconstruction, and face recognition. It is beneficial to extract fac…
Segmentation-Reconstruction-Guided Facial Image De-occlusion
Xiangnan Yin, Di Huang, Zehua Fu +2
Occlusions are very common in face images in the wild, leading to the degraded performance of face-related tasks. Although much effort has been devoted to removing occlusions from…
Weakly-Supervised Photo-realistic Texture Generation for 3D Face Reconstruction
Xiangnan Yin, Di Huang, Zehua Fu +2
Although much progress has been made recently in 3D face reconstruction, most previous work has been devoted to predicting accurate and fine-grained 3D shapes. In contrast, relativ…
Pixel Sampling for Style Preserving Face Pose Editing
Xiangnan Yin, Di Huang, Hongyu Yang +3
The existing auto-encoder based face pose editing methods primarily focus on modeling the identity preserving ability during pose synthesis, but are less able to preserve the image…