activity
20172022
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 1.3k across the 35 of their papers we have counts for

collaborators

57 papers

cs.CV20227 cited

VToonify: Controllable High-Resolution Portrait Video Style Transfer

Shuai Yang, Liming Jiang, Ziwei Liu +1

Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification mo…

cs.CV202215 cited

Text2Human: Text-Driven Controllable Human Image Generation

Yuming Jiang, Shuai Yang, Haonan Qiu +3

Generating high-quality and diverse human images is an important yet challenging task in vision and graphics. However, existing generative models often fall short under the high di…

cs.CV20225 cited

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

Jianglin Fu, Shikai Li, Yuming Jiang +5

Unconditional human image generation is an important task in vision and graphics, which enables various applications in the creative industry. Existing studies in this field mainly…

cs.CV20222 cited

Unsupervised Image-to-Image Translation with Generative Prior

Shuai Yang, Liming Jiang, Ziwei Liu +1

Unsupervised image-to-image translation aims to learn the translation between two visual domains without paired data. Despite the recent progress in image translation models, it re…

cs.SD202218 cited

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

Li Siyao, Weijiang Yu, Tianpei Gu +5

Driving 3D characters to dance following a piece of music is highly challenging due to the spatial constraints applied to poses by choreography norms. In addition, the generated da…

cs.CV202210 cited

Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer

Shuai Yang, Liming Jiang, Ziwei Liu +1

Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data. In this paper, we explore more challenging exemplar-based h…