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20212023
most citedInternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

32 citations · 79 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 1 cited

Hierarchy Flow For High-Fidelity Image-to-Image Translation

Weichen Fan, Jinghuan Chen, Ziwei Liu

Image-to-image (I2I) translation comprises a wide spectrum of tasks. Here we divide this problem into three levels: strong-fidelity translation, normal-fidelity translation, and we…

cs.CV2023★ 32 cited

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Yi Wang, Yinan He, Yizhuo Li +13

This paper introduces InternVid, a large-scale video-centric multimodal dataset that enables learning powerful and transferable video-text representations for multimodal understand…

cs.CV2023★ 1 cited

StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator

Jiazhi Guan, Zhanwang Zhang, Hang Zhou +8

Despite recent advances in syncing lip movements with any audio waves, current methods still struggle to balance generation quality and the model's generalization ability. Previous…

cs.CV2023★ 2 cited

Collaborative Diffusion for Multi-Modal Face Generation and Editing

Ziqi Huang, Kelvin C. K. Chan, Yuming Jiang +1

Diffusion models arise as a powerful generative tool recently. Despite the great progress, existing diffusion models mainly focus on uni-modal control, i.e., the diffusion process…

cs.CV2023★ 2 cited

A Simple and Generic Framework for Feature Distillation via Channel-wise Transformation

Ziwei Liu, Yongtao Wang, Xiaojie Chu

Knowledge distillation is a popular technique for transferring the knowledge from a large teacher model to a smaller student model by mimicking. However, distillation by directly a…

cs.CV2023★ 8 cited

ReVersion: Diffusion-Based Relation Inversion from Images

Ziqi Huang, Tianxing Wu, Yuming Jiang +2

Diffusion models gain increasing popularity for their generative capabilities. Recently, there have been surging needs to generate customized images by inverting diffusion models f…