May 24, 2022 · M6-Fashion utilizes self-correction for the non-autoregressive generation to improve inference speed, enhance holistic consistency, and support ...
May 24, 2022 · Figure 1: The proposed M6-Fashion is a unified, efficient, general framework for multi-modal image generation and editing. M6-Fashion synthesize ...
2012 5th International Congress on Image and Signal Processing, 401-406, 2012. 7, 2012. M6-fashion: High-fidelity multi-modal image generation and editing. Z Li ...
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing. Z Li, P Li, H Zhou, S Bai, C Zhou, H Yang. ACM Conference on Knowledge Discovery and Data ...
This project is associated with our survey paper which comprehensively contextualizes the advance of Multimodal Image Synthesis & Editing (MISE) and visual AIGC ...
Missing: Fashion: | Show results with:Fashion:
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing · no code implementations • 24 May 2022 • Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li ...
In this paper, we propose a novel end-to-end 3D-aware image generation and editing model incorporating multiple types of conditional inputs.
It decouples style codes in both spatial and semantic dimensions to guarantee high-fidelity image generation in the first stage. M6-Fashion utilizes self- ...
The fashion industry has diverse applications in multi-modal image generation and editing. Image Generation · Vocal Bursts Intensity Prediction.
Text-to-Image, Dance-to-Music, Class-to-Image. (arXiv preprint 2022) M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing, Zhikang Li et al.