activity
20232026
most citedVideoLCM: Video Latent Consistency Model

8 citations · 33 across the 39 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 2 cited

A Recipe for Scaling up Text-to-Video Generation with Text-free Videos

Xiang Wang, Shiwei Zhang, Hangjie Yuan +6

Diffusion-based text-to-video generation has witnessed impressive progress in the past year yet still falls behind text-to-image generation. One of the key reasons is the limited s…

cs.CV2023★ 8 cited

VideoLCM: Video Latent Consistency Model

Xiang Wang, Shiwei Zhang, Han Zhang +4

Consistency models have demonstrated powerful capability in efficient image generation and allowed synthesis within a few sampling steps, alleviating the high computational cost in…

cs.CV2023★ 1 cited

Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation

Zhiwu Qing, Shiwei Zhang, Jiayu Wang +5

Despite diffusion models having shown powerful abilities to generate photorealistic images, generating videos that are realistic and diverse still remains in its infancy. One of th…

cs.CV2023

UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity

Jialong Zuo, Hanyu Zhou, Ying Nie +5

Existing text-based person retrieval datasets often have relatively coarse-grained text annotations. This hinders the model to comprehend the fine-grained semantics of query texts…

cs.CV2023

Few-shot Action Recognition with Captioning Foundation Models

Xiang Wang, Shiwei Zhang, Hangjie Yuan +4

Transferring vision-language knowledge from pretrained multimodal foundation models to various downstream tasks is a promising direction. However, most current few-shot action reco…

cs.CV2023★ 3 cited

Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping

Feng Zhang, Ming Tian, Zhiqiang Li +4

Tone mapping aims to convert high dynamic range (HDR) images to low dynamic range (LDR) representations, a critical task in the camera imaging pipeline. In recent years, 3-Dimensio…