SceneComposer: Any-Level Semantic Image Synthesis

Author:

Zeng Yu1,Lin Zhe2,Zhang Jianming2,Liu Qing2,Collomosse John2,Kuen Jason2,Patel Vishal M.1

Affiliation:

1. Johns Hopkins University

2. Adobe Research

Publisher

IEEE

Reference67 articles.

1. Make-a-scene: Scene-based text-to-image generation with human priors;gafni;ArXiv Preprint,2022

2. Neural discrete representation learning;van den oord;Conference on Neural Information Processing Systems,0

3. Pixel recurrent neural networks;den oord;Inter-national Conference on Machine Learning,0

4. Vector Quantized Diffusion Model for Text-to-Image Synthesis

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2. MMGInpainting: Multi-Modality Guided Image Inpainting Based on Diffusion Models;IEEE Transactions on Multimedia;2024

3. Edge Guided GANs With Multi-Scale Contrastive Learning for Semantic Image Synthesis;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-12

4. Masked-attention diffusion guidance for spatially controlling text-to-image generation;The Visual Computer;2023-11-30

5. Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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