8 citations · 16 across the 11 of their papers we have counts for
11 papers
One-Step Diffusion Transformer for Controllable Real-World Image Super-Resolution
Yushun Fang, Yuxiang Chen, Shibo Yin +5
Recent advances in diffusion-based real-world image super-resolution (Real-ISR) have demonstrated remarkable perceptual quality, yet the balance between fidelity and controllabilit…
HPC: Hierarchical Progressive Coding Framework for Volumetric Video
Zihan Zheng, Houqiang Zhong, Qiang Hu +4
Volumetric video based on Neural Radiance Field (NeRF) holds vast potential for various 3D applications, but its substantial data volume poses significant challenges for compressio…
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning
Haoning Wu, Shaocheng Shen, Qiang Hu +3
Diffusion models have emerged as frontrunners in text-to-image generation, but their fixed image resolution during training often leads to challenges in high-resolution image gener…
JointRF: End-to-End Joint Optimization for Dynamic Neural Radiance Field Representation and Compression
Zihan Zheng, Houqiang Zhong, Qiang Hu +4
Neural Radiance Field (NeRF) excels in photo-realistically static scenes, inspiring numerous efforts to facilitate volumetric videos. However, rendering dynamic and long-sequence r…
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition
Haozhe Cheng, Cheng Ju, Haicheng Wang +5
As one of the fundamental video tasks in computer vision, Open-Vocabulary Action Recognition (OVAR) recently gains increasing attention, with the development of vision-language pre…
Learning-based Bone Quality Classification Method for Spinal Metastasis
Shiqi Peng, Bolin Lai, Guangyu Yao +4
Spinal metastasis is the most common disease in bone metastasis and may cause pain, instability and neurological injuries. Early detection of spinal metastasis is critical for accu…
Boost Video Frame Interpolation via Motion Adaptation
Haoning Wu, Xiaoyun Zhang, Weidi Xie +2
Video frame interpolation (VFI) is a challenging task that aims to generate intermediate frames between two consecutive frames in a video. Existing learning-based VFI methods have…
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
Zhixin Wang, Xiaoyun Zhang, Ziying Zhang +4
Blind face restoration usually synthesizes degraded low-quality data with a pre-defined degradation model for training, while more complex cases could happen in the real world. Thi…
Open-vocabulary Object Segmentation with Diffusion Models
Ziyi Li, Qinye Zhou, Xiaoyun Zhang +3
The goal of this paper is to extract the visual-language correspondence from a pre-trained text-to-image diffusion model, in the form of segmentation map, i.e., simultaneously gene…
A Simple Plugin for Transforming Images to Arbitrary Scales
Qinye Zhou, Ziyi Li, Weidi Xie +3
Existing models on super-resolution often specialized for one scale, fundamentally limiting their use in practical scenarios. In this paper, we aim to develop a general plugin that…
Learning to Learn Graph Topologies
Xingyue Pu, Tianyue Cao, Xiaoyun Zhang +2
Learning a graph topology to reveal the underlying relationship between data entities plays an important role in various machine learning and data analysis tasks. Under the assumpt…