DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling

NeurIPSSpotlight2025

Authors
Yuang Ai, Qihang Fan, Xuefeng Hu, Zhenheng Yang, Ran He, Huaibo Huang
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Diffusion Transformer (DiT), a promising diffusion model for visual generation, demonstrates impressive performance but incurs significant computational overhead…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

transformer diffusion efficient

← All NeurIPS 2025 Spotlight papers · Browse the whole archive