24 citations · 52 across the 7 of their papers we have counts for
7 papers
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…
GenN2N: Generative NeRF2NeRF Translation
Xiangyue Liu, Han Xue, Kunming Luo +2
We present GenN2N, a unified NeRF-to-NeRF translation framework for various NeRF translation tasks such as text-driven NeRF editing, colorization, super-resolution, inpainting, etc…
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation
Han Xue, Qianru Sun, Li Song +2
We propose In-Context Translation (ICT), a general learning framework to unify visual recognition (e.g., semantic segmentation), low-level image processing (e.g., denoising), and c…
Freestyle Layout-to-Image Synthesis
Han Xue, Zhiwu Huang, Qianru Sun +2
Typical layout-to-image synthesis (LIS) models generate images for a closed set of semantic classes, e.g., 182 common objects in COCO-Stuff. In this work, we explore the freestyle…
Region-aware Adaptive Instance Normalization for Image Harmonization
Jun Ling, Han Xue, Li Song +2
Image composition plays a common but important role in photo editing. To acquire photo-realistic composite images, one must adjust the appearance and visual style of the foreground…
Toward Fine-grained Facial Expression Manipulation
Jun Ling, Han Xue, Li Song +3
Facial expression manipulation aims at editing facial expression with a given condition. Previous methods edit an input image under the guidance of a discrete emotion label or abso…
Dense RepPoints: Representing Visual Objects with Dense Point Sets
Ze Yang, Yinghao Xu, Han Xue +5
We present a new object representation, called Dense RepPoints, that utilizes a large set of points to describe an object at multiple levels, including both box level and pixel lev…