Zhifei Zhang

Research Engineer

San Jose

Zhifei Zhang is a research engineer in the Creative Intelligence Lab (CIL) of Adobe Research. His research interest mainly lies in image synthesis, i.e., image morphing, transfer, and composition via deep learning. Before joining Adobe, Zhifei obtained the Ph.D. degree from the University of Tennessee at Knoxville in 2018.

Please visit my personal page.

Publications

Thinking Outside the BBox: Unconstrained Generative Object Compositing

Tarres, G., Lin, Z., Zhang, Z., Zhang, J., Song, Y., Ruta, D., Gilbert, A., Collomosse, J., Kim, S. (Oct. 1, 2024)

European Conference on Computer Vision (ECCV)

IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation

Song, Y., Zhang, Z., Lin, Z., Cohen, S., Price, B., Zhang, J., Kim, S., Zhang, H., Xiong, W., Aliaga, D., Price, P. (Jun. 17, 2024)

CVPR 2024

Modulating Pretrained Diffusion Models for Multimodal Image Synthesis

Ham, C., Hays, J., Lu, J., Singh, K., Zhang, Z., Hinz, T. (Aug. 6, 2023)

SIGGRAPH 2023

ObjectStitch: Generative Object Compositing

Song, Y., Zhang, Z., Lin, Z., Cohen, S., Price, B., Zhang, J., Kim, S., Aliaga, D. (Jun. 18, 2023)

CVPR 2023

Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach

Xu, X., Zhang, Z., Wang, Z., Price, B., Want, Z., Shi, H. (Jun. 21, 2021)

CVPR 2021

Texture Hallucination for Large-Scale Painting Super-Resolution

Zhang, Y., Zhang, Z., DiVerdi, S., Wang, Z., Echevarria, J., Fu, Y. (Aug. 23, 2020)

ECCV 2020