5 citations · 8 across the 6 of their papers we have counts for
6 papers
CosmicMan: A Text-to-Image Foundation Model for Humans
Shikai Li, Jianglin Fu, Kaiyuan Liu +3
We present CosmicMan, a text-to-image foundation model specialized for generating high-fidelity human images. Unlike current general-purpose foundation models that are stuck in the…
OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs
Honglin He, Zhuoqian Yang, Shikai Li +2
We present a new method for generating realistic and view-consistent images with fine geometry from 2D image collections. Our method proposes a hybrid explicit-implicit representat…
UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation
Jianglin Fu, Shikai Li, Yuming Jiang +3
Human generation has achieved significant progress. Nonetheless, existing methods still struggle to synthesize specific regions such as faces and hands. We argue that the main reas…
3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping
Zhuoqian Yang, Shikai Li, Wayne Wu +1
We present 3DHumanGAN, a 3D-aware generative adversarial network that synthesizes photorealistic images of full-body humans with consistent appearances under different view-angles…
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis
Long Zhuo, Guangcong Wang, Shikai Li +2
Video-to-Video synthesis (Vid2Vid) has achieved remarkable results in generating a photo-realistic video from a sequence of semantic maps. However, this pipeline suffers from high…
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…