132 citations · 278 across the 12 of their papers we have counts for
12 papers
FaceShot: Bring Any Character into Life
Junyao Gao, Yanan Sun, Fei Shen +4
In this paper, we present FaceShot, a novel training-free portrait animation framework designed to bring any character into life from any driven video without fine-tuning or retrai…
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation
Yanan Sun, Yanchen Liu, Yinhao Tang +2
The field of text-to-image (T2I) generation has made significant progress in recent years, largely driven by advancements in diffusion models. Linguistic control enables effective…
UniBoost: Unsupervised Unimodal Pre-training for Boosting Zero-shot Vision-Language Tasks
Yanan Sun, Zihan Zhong, Qi Fan +2
Large-scale joint training of multimodal models, e.g., CLIP, have demonstrated great performance in many vision-language tasks. However, image-text pairs for pre-training are restr…
H-VFI: Hierarchical Frame Interpolation for Videos with Large Motions
Changlin Li, Guangyang Wu, Yanan Sun +3
Capitalizing on the rapid development of neural networks, recent video frame interpolation (VFI) methods have achieved notable improvements. However, they still fall short for real…
Human Instance Matting via Mutual Guidance and Multi-Instance Refinement
Yanan Sun, Chi-Keung Tang, Yu-Wing Tai
This paper introduces a new matting task called human instance matting (HIM), which requires the pertinent model to automatically predict a precise alpha matte for each human insta…
A Unified Query-based Paradigm for Point Cloud Understanding
Zetong Yang, Li Jiang, Yanan Sun +2
3D point cloud understanding is an important component in autonomous driving and robotics. In this paper, we present a novel Embedding-Querying paradigm (EQ- Paradigm) for 3D under…
Deep Video Matting via Spatio-Temporal Alignment and Aggregation
Yanan Sun, Guanzhi Wang, Qiao Gu +2
Despite the significant progress made by deep learning in natural image matting, there has been so far no representative work on deep learning for video matting due to the inherent…
Semantic Image Matting
Yanan Sun, Chi-Keung Tang, Yu-Wing Tai
Natural image matting separates the foreground from background in fractional occupancy which can be caused by highly transparent objects, complex foreground (e.g., net or tree), an…
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision
Lei Ke, Shichao Li, Yanan Sun +2
We present a novel end-to-end framework named as GSNet (Geometric and Scene-aware Network), which jointly estimates 6DoF poses and reconstructs detailed 3D car shapes from single u…
3DSSD: Point-based 3D Single Stage Object Detector
Zetong Yang, Yanan Sun, Shu Liu +1
Currently, there have been many kinds of voxel-based 3D single stage detectors, while point-based single stage methods are still underexplored. In this paper, we first present a li…
STD: Sparse-to-Dense 3D Object Detector for Point Cloud
Zetong Yang, Yanan Sun, Shu Liu +2
We present a new two-stage 3D object detection framework, named sparse-to-dense 3D Object Detector (STD). The first stage is a bottom-up proposal generation network that uses raw p…
IPOD: Intensive Point-based Object Detector for Point Cloud
Zetong Yang, Yanan Sun, Shu Liu +2
We present a novel 3D object detection framework, named IPOD, based on raw point cloud. It seeds object proposal for each point, which is the basic element. This paradigm provides…