11 citations · 16 across the 6 of their papers we have counts for
6 papers
MT-Mark: Rethinking Image Watermarking via Mutual-Teacher Collaboration with Adaptive Feature Modulation
Fei Ge, Ying Huang, Jie Liu +4
Existing deep image watermarking methods follow a fixed embedding-distortion-extraction pipeline, where the embedder and extractor are weakly coupled through a final loss and optim…
RealityAvatar: Towards Realistic Loose Clothing Modeling in Animatable 3D Gaussian Avatars
Yahui Li, Zhi Zeng, Liming Pang +2
Modeling animatable human avatars from monocular or multi-view videos has been widely studied, with recent approaches leveraging neural radiance fields (NeRFs) or 3D Gaussian Splat…
A Unified Editing Method for Co-Speech Gesture Generation via Diffusion Inversion
Zeyu Zhao, Nan Gao, Zhi Zeng +3
Diffusion models have shown great success in generating high-quality co-speech gestures for interactive humanoid robots or digital avatars from noisy input with the speech audio or…
Approaching the Limit of Image Rescaling via Flow Guidance
Shang Li, Guixuan Zhang, Zhengxiong Luo +3
Image downscaling and upscaling are two basic rescaling operations. Once the image is downscaled, it is difficult to be reconstructed via upscaling due to the loss of information.…
From General to Specific: Online Updating for Blind Super-Resolution
Shang Li, Guixuan Zhang, Zhengxiong Luo +3
Most deep learning-based super-resolution (SR) methods are not image-specific: 1) They are trained on samples synthesized by predefined degradations (e.g. bicubic downsampling), re…
Learning to Predict More Accurate Text Instances for Scene Text Detection
XiaoQian Li, Jie Liu, ShuWu Zhang +1
At present, multi-oriented text detection methods based on deep neural network have achieved promising performances on various benchmarks. Nevertheless, there are still some diffic…