Freeplane: Unlocking Free Lunch in Triplane-Based Sparse-View Reconstruction Models

no code implementations • 2 Jun 2024 • Wenqiang Sun, Zhengyi Wang, Shuo Chen, Yikai Wang, Zilong Chen, Jun Zhu, Jun Zhang

We first analyze the role of triplanes in feed-forward methods and find that the inconsistent multi-view images introduce high-frequency artifacts on triplanes, leading to low-quality 3D meshes.

Spatial-Aware Latent Initialization for Controllable Image Generation

no code implementations • 29 Jan 2024 • Wenqiang Sun, Teng Li, Zehong Lin, Jun Zhang

Recently, text-to-image diffusion models have demonstrated impressive ability to generate high-quality images conditioned on the textual input.

Denoising Image Generation

A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency

no code implementations • 20 Jul 2023 • Jiawei Shao, Zijian Li, Wenqiang Sun, Tailin Zhou, Yuchang Sun, Lumin Liu, Zehong Lin, Yuyi Mao, Jun Zhang

Without data centralization, FL allows clients to share local information in a privacy-preserving manner.

Federated Learning Privacy Preserving

DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning

no code implementations • 2 May 2023 • Wenqiang Sun, Sen Li, Yuchang Sun, Jun Zhang

Federated learning (FL) attempts to train a global model by aggregating local models from distributed devices under the coordination of a central server.

Backdoor Attack Federated Learning