100 citations · 242 across the 17 of their papers we have counts for
19 papers
HeyGen Voice: Scene-Aware Voice Cloning for Talking Videos
Pavel Andreev, Andrei Gusev, Adithya Narayan +15
Most voice-cloning systems are built for audio alone: they copy the reference recording's delivery and acoustics, so a voice cloned on a phone sounds like a phone recording whether…
Avatar V: Scaling Video-Reference Avatar Video Generation
Benjamin Liang, Ce Chen, Desmond Lin +20
Generating avatar videos that are not merely visually similar to a target individual but behaviorally recognizable, faithfully reproducing their talking rhythm, gestural tendencies…
Generate Your Talking Avatar from Video Reference
Zujin Guo, Zhenhui Ye, Yi Ren +4
Existing talking avatar methods typically adopt an image-to-video pipeline conditioned on a static reference image within the same scene as the target generation. This restricted,…
TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions
Ce Chen, Yi Ren, Yuanming Li +5
Traditional Shot Boundary Detection (SBD) inherently struggles with complex transitions by formulating the task around isolated cut points, frequently yielding corrupted video shot…
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
Xu Yang, Changxing Ding, Zhibin Hong +3
Image-based virtual try-on is an increasingly important task for online shopping. It aims to synthesize images of a specific person wearing a specified garment. Diffusion model-bas…
Masked Lip-Sync Prediction by Audio-Visual Contextual Exploitation in Transformers
Yasheng Sun, Hang Zhou, Kaisiyuan Wang +7
Previous studies have explored generating accurately lip-synced talking faces for arbitrary targets given audio conditions. However, most of them deform or generate the whole facia…
StyleSwap: Style-Based Generator Empowers Robust Face Swapping
Zhiliang Xu, Hang Zhou, Zhibin Hong +7
Numerous attempts have been made to the task of person-agnostic face swapping given its wide applications. While existing methods mostly rely on tedious network and loss designs, t…
Delving into Sequential Patches for Deepfake Detection
Jiazhi Guan, Hang Zhou, Zhibin Hong +4
Recent advances in face forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions. As a result, researchers have be…
Few-Shot Font Generation by Learning Fine-Grained Local Styles
Licheng Tang, Yiyang Cai, Jiaming Liu +7
Few-shot font generation (FFG), which aims to generate a new font with a few examples, is gaining increasing attention due to the significant reduction in labor cost. A typical FFG…
Few-Shot Head Swapping in the Wild
Changyong Shu, Hemao Wu, Hang Zhou +7
The head swapping task aims at flawlessly placing a source head onto a target body, which is of great importance to various entertainment scenarios. While face swapping has drawn m…
MobileFaceSwap: A Lightweight Framework for Video Face Swapping
Zhiliang Xu, Zhibin Hong, Changxing Ding +4
Advanced face swapping methods have achieved appealing results. However, most of these methods have many parameters and computations, which makes it challenging to apply them in re…
Quality-aware Part Models for Occluded Person Re-identification
Pengfei Wang, Changxing Ding, Zhiyin Shao +3
Occlusion poses a major challenge for person re-identification (ReID). Existing approaches typically rely on outside tools to infer visible body parts, which may be suboptimal in t…
ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results
Yinan He, Lu Sheng, Jing Shao +19
The rapid progress of photorealistic synthesis techniques has reached a critical point where the boundary between real and manipulated images starts to blur. Recently, a mega-scale…
FaceController: Controllable Attribute Editing for Face in the Wild
Zhiliang Xu, Xiyu Yu, Zhibin Hong +5
Face attribute editing aims to generate faces with one or multiple desired face attributes manipulated while other details are preserved. Unlike prior works such as GAN inversion,…
Learning Global Structure Consistency for Robust Object Tracking
Bi Li, Chengquan Zhang, Zhibin Hong +5
Fast appearance variations and the distractions of similar objects are two of the most challenging problems in visual object tracking. Unlike many existing trackers that focus on m…
Learning Generalized Spoof Cues for Face Anti-spoofing
Haocheng Feng, Zhibin Hong, Haixiao Yue +5
Many existing face anti-spoofing (FAS) methods focus on modeling the decision boundaries for some predefined spoof types. However, the diversity of the spoof samples including the…
ACFNet: Attentional Class Feature Network for Semantic Segmentation
Fan Zhang, Yanqin Chen, Zhihang Li +5
Recent works have made great progress in semantic segmentation by exploiting richer context, most of which are designed from a spatial perspective. In contrast to previous works, w…
Grand Challenge of 106-Point Facial Landmark Localization
Yinglu Liu, Hao Shen, Yue Si +18
Facial landmark localization is a very crucial step in numerous face related applications, such as face recognition, facial pose estimation, face image synthesis, etc. However, pre…
An Experimental Survey on Correlation Filter-based Tracking
Zhe Chen, Zhibin Hong, Dacheng Tao
Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing interests in the field of visual object tracking, and have achieved extremely compelling results…