text-to-image generation

Optimizing Prompts for Text-to-Image Generation NeurIPS 2023 ‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion EMNLP 2023 Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation NeurIPS 2023 Point Cloud Completion with Pretrained Text-to-Image Diffusion Models NeurIPS 2023 RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths NeurIPS 2023 Real-World Image Variation by Aligning Diffusion Inversion Chain NeurIPS 2023 ReCo: Region-Controlled Text-to-Image Generation CVPR 2023 Re-Imagen: Retrieval-Augmented Text-to-Image Generator ICLR 2023 Resolving Ambiguities in Text-to-Image Generative Models ACL 2023 Restart Sampling for Improving Generative Processes NeurIPS 2023 Retrieval-Augmented Multimodal Language Modeling ICML 2023 RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts CVPR 2023 Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models CVPR 2023 SEGA: Instructing Text-to-Image Models using Semantic Guidance NeurIPS 2023 Shifted Diffusion for Text-to-Image Generation CVPR 2023 SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds NeurIPS 2023 SpaText: Spatio-Textual Representation for Controllable Image Generation CVPR 2023 Stable Bias: Evaluating Societal Representations in Diffusion Models NeurIPS 2023 Story Visualization by Online Text Augmentation with Context Memory ICCV 2023 Subject-driven Text-to-Image Generation via Apprenticeship Learning NeurIPS 2023 SVDiff: Compact Parameter Space for Diffusion Fine-Tuning ICCV 2023 T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation ACL 2023 T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation NeurIPS 2023 Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness EMNLP 2023 Teaching CLIP to Count to Ten ICCV 2023