2 citations · 2 across the 7 of their papers we have counts for
8 papers
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers
Guozhen Zhang, Xuerui Qiu, Yutao Cui +11
Holistic visual tokenizers are fundamental to unified multimodal models (UMMs) as they map diverse visual inputs into a unified representation space. In this paper, we present HYDR…
UniAVGen: Unified Audio and Video Generation with Asymmetric Cross-Modal Interactions
Guozhen Zhang, Zixiang Zhou, Teng Hu +6
Due to the lack of effective cross-modal modeling, existing open-source audio-video generation methods often exhibit compromised lip synchronization and insufficient semantic consi…
Arbitrary Generative Video Interpolation
Guozhen Zhang, Haiguang Wang, Chunyu Wang +3
Video frame interpolation (VFI), which generates intermediate frames from given start and end frames, has become a fundamental function in video generation applications. However, e…
Motion-Aware Generative Frame Interpolation
Guozhen Zhang, Yuhan Zhu, Yutao Cui +3
Flow-based frame interpolation methods ensure motion stability through estimated intermediate flow but often introduce severe artifacts in complex motion regions. Recent generative…
Dynamic and Compressive Adaptation of Transformers From Images to Videos
Guozhen Zhang, Jingyu Liu, Shengming Cao +4
Recently, the remarkable success of pre-trained Vision Transformers (ViTs) from image-text matching has sparked an interest in image-to-video adaptation. However, most current appr…
VFIMamba: Video Frame Interpolation with State Space Models
Guozhen Zhang, Chunxu Liu, Yutao Cui +3
Inter-frame modeling is pivotal in generating intermediate frames for video frame interpolation (VFI). Current approaches predominantly rely on convolution or attention-based model…
Sparse Global Matching for Video Frame Interpolation with Large Motion
Chunxu Liu, Guozhen Zhang, Rui Zhao +1
Large motion poses a critical challenge in Video Frame Interpolation (VFI) task. Existing methods are often constrained by limited receptive fields, resulting in sub-optimal perfor…
StableDrag: Stable Dragging for Point-based Image Editing
Yutao Cui, Xiaotong Zhao, Guozhen Zhang +3
Point-based image editing has attracted remarkable attention since the emergence of DragGAN. Recently, DragDiffusion further pushes forward the generative quality via adapting this…