3.2k citations · 7.6k across the 98 of their papers we have counts for
16 papers · 1 filter
Reference-based Image and Video Super-Resolution via C2-Matching
Yuming Jiang, Kelvin C. K. Chan, Xintao Wang +2
Reference-based Super-Resolution (Ref-SR) has recently emerged as a promising paradigm to enhance a low-resolution (LR) input image or video by introducing an additional high-resol…
VToonify: Controllable High-Resolution Portrait Video Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu +1
Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification mo…
On-Device Domain Generalization
Kaiyang Zhou, Yuanhan Zhang, Yuhang Zang +3
We present a systematic study of domain generalization (DG) for tiny neural networks. This problem is critical to on-device machine learning applications but has been overlooked in…
Mind the Gap in Distilling StyleGANs
Guodong Xu, Yuenan Hou, Ziwei Liu +1
StyleGAN family is one of the most popular Generative Adversarial Networks (GANs) for unconditional generation. Despite its impressive performance, its high demand on storage and c…
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing
Guangcong Wang, Yinuo Yang, Chen Change Loy +1
We present a new lighting estimation and editing framework to generate high-dynamic-range (HDR) indoor panorama lighting from a single limited field-of-view (LFOV) image captured b…
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
Hao Zhu, Wayne Wu, Wentao Zhu +5
Large-scale datasets have played indispensable roles in the recent success of face generation/editing and significantly facilitated the advances of emerging research fields. Howeve…
Relighting4D: Neural Relightable Human from Videos
Zhaoxi Chen, Ziwei Liu
Human relighting is a highly desirable yet challenging task. Existing works either require expensive one-light-at-a-time (OLAT) captured data using light stage or cannot freely cha…
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie, Wei Li, Xiaohang Zhan +3
We present Masked Frequency Modeling (MFM), a unified frequency-domain-based approach for self-supervised pre-training of visual models. Instead of randomly inserting mask tokens t…
Text2Human: Text-Driven Controllable Human Image Generation
Yuming Jiang, Shuai Yang, Haonan Qiu +3
Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high di…
Free Lunch for Surgical Video Understanding by Distilling Self-Supervisions
Xinpeng Ding, Ziwei Liu, Xiaomeng Li
Self-supervised learning has witnessed great progress in vision and NLP; recently, it also attracted much attention to various medical imaging modalities such as X-ray, CT, and MRI…
StyleGAN-Human: A Data-Centric Odyssey of Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +5
Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry. Existing studies in this field mainly…
Unsupervised Image-to-Image Translation with Generative Prior
Shuai Yang, Liming Jiang, Ziwei Liu +1
Unsupervised image-to-image translation aims to learn the translation between two visual domains without paired data. Despite the recent progress in image translation models, it re…
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling
Zhongang Cai, Daxuan Ren, Ailing Zeng +12
4D human sensing and modeling are fundamental tasks in vision and graphics with numerous applications. With the advances of new sensors and algorithms, there is an increasing deman…
Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory
Li Siyao, Weijiang Yu, Tianpei Gu +5
Driving 3D characters to dance following a piece of music is highly challenging due to the spatial constraints applied to poses by choreography norms. In addition, the generated da…
Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu +1
Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data. In this paper, we explore more challenging exemplar-based h…
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy +1
With the rise of powerful pre-trained vision-language models like CLIP, it becomes essential to investigate ways to adapt these models to downstream datasets. A recently proposed m…