12 citations · 16 across the 12 of their papers we have counts for
12 papers
Decoupled Self-Forcing Distillation for Streaming Talking Head Generation
Yanru An, Ruiyan Wang, Wenwu Wei +7
Streaming talking-head generation produces each frame as its driving audio arrives, yet fidelity and efficiency have so far pulled in opposite directions: end-to-end methods condit…
DP-DeGauss: Dynamic Probabilistic Gaussian Decomposition for Egocentric 4D Scene Reconstruction
Tingxi Chen, Zhengxue Cheng, Houqiang Zhong +3
Egocentric video is crucial for next-generation 4D scene reconstruction, with applications in AR/VR and embodied AI. However, reconstructing dynamic first-person scenes is challeng…
Joint Degradation-Aware Arbitrary-Scale Super-Resolution for Variable-Rate Extreme Image Compression
Xinning Chai, Zhengxue Cheng, Xin Li +2
Recent diffusion-based extreme image compression methods have demonstrated remarkable performance at ultra-low bitrates. However, most approaches require training separate diffusio…
FreeInsert: Personalized Object Insertion with Geometric and Style Control
Yuhong Zhang, Han Wang, Yiwen Wang +2
Text-to-image diffusion models have made significant progress in image generation, allowing for effortless customized generation. However, existing image editing methods still face…
Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
Yiwen Wang, Ying Liang, Yuxuan Zhang +6
Due to the disparity between real-world degradations in user-generated content(UGC) images and synthetic degradations, traditional super-resolution methods struggle to generalize e…
Face De-identification: State-of-the-art Methods and Comparative Studies
Jingyi Cao, Xiangyi Chen, Bo Liu +5
The widespread use of image acquisition technologies, along with advances in facial recognition, has raised serious privacy concerns. Face de-identification usually refers to the p…
PoseTalk: Text-and-Audio-based Pose Control and Motion Refinement for One-Shot Talking Head Generation
Jun Ling, Yiwen Wang, Han Xue +2
While previous audio-driven talking head generation (THG) methods generate head poses from driving audio, the generated poses or lips cannot match the audio well or are not editabl…
A New People-Object Interaction Dataset and NVS Benchmarks
Shuai Guo, Houqiang Zhong, Qiuwen Wang +6
Recently, NVS in human-object interaction scenes has received increasing attention. Existing human-object interaction datasets mainly consist of static data with limited views, off…
Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration
Yuhong Zhang, Hengsheng Zhang, Xinning Chai +4
Image restoration is a classic low-level problem aimed at recovering high-quality images from low-quality images with various degradations such as blur, noise, rain, haze, etc. How…
SSP-IR: Semantic and Structure Priors for Diffusion-based Realistic Image Restoration
Yuhong Zhang, Hengsheng Zhang, Zhengxue Cheng +3
Realistic image restoration is a crucial task in computer vision, and diffusion-based models for image restoration have garnered significant attention due to their ability to produ…
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior
Han Wang, Xinning Chai, Yiwen Wang +3
Colorizing grayscale images offers an engaging visual experience. Existing automatic colorization methods often fail to generate satisfactory results due to incorrect semantic colo…
Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views
Shuai Guo, Qiuwen Wang, Yijie Gao +2
Novel-view synthesis with sparse input views is important for real-world applications like AR/VR and autonomous driving. Recent methods have integrated depth information into NeRFs…