19 citations · 23 across the 6 of their papers we have counts for
6 papers
Diff-PC: Identity-preserving and 3D-aware Controllable Diffusion for Zero-shot Portrait Customization
Yifang Xu, Benxiang Zhai, Chenyu Zhang +3
Portrait customization (PC) has recently garnered significant attention due to its potential applications. However, existing PC methods lack precise identity (ID) preservation and…
FaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization
Benxiang Zhai, Yifang Xu, Guofeng Zhang +2
Benefiting from the significant advancements in text-to-image diffusion models, research in personalized image generation, particularly customized portrait generation, has also mad…
HiFi-Portrait: Zero-shot Identity-preserved Portrait Generation with High-fidelity Multi-face Fusion
Yifang Xu, Benxiang Zhai, Yunzhuo Sun +3
Recent advancements in diffusion-based technologies have made significant strides, particularly in identity-preserved portrait generation (IPG). However, when using multiple refere…
Multi-modal Fusion and Query Refinement Network for Video Moment Retrieval and Highlight Detection
Yifang Xu, Yunzhuo Sun, Benxiang Zhai +3
Given a video and a linguistic query, video moment retrieval and highlight detection (MR&HD) aim to locate all the relevant spans while simultaneously predicting saliency scores. M…
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
Yifang Xu, Yunzhuo Sun, Benxiang Zhai +4
The target of video moment retrieval (VMR) is predicting temporal spans within a video that semantically match a given linguistic query. Existing VMR methods based on multimodal la…
VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT
Yifang Xu, Yunzhuo Sun, Zien Xie +2
Video temporal grounding (VTG) aims to locate specific temporal segments from an untrimmed video based on a linguistic query. Most existing VTG models are trained on extensive anno…