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Contextual RNN-GANs for Abstract Reasoning Diagram Generation
A novel Context-RNN-GAN model for diagrammatic abstract reasoning and image generation -
Self-Guided Generation of Minority Samples Using Diffusion Models
We present a novel approach for generating minority samples that live on low-density regions of a data manifold. -
SRNDiff: Short-term precipitation nowcasting with condition diffusion model
Diffusion models are widely used in image generation because they can generate high-quality and realistic samples. -
Face-related tasks with ControlNet
The dataset used in this paper is a face-related task with ControlNet. The dataset contains images with different poses and conditions. -
Style-guided generation with Stable Diffusion
The dataset used in this paper is a style-guided generation task with Stable Diffusion. The dataset contains images with different styles and prompts. -
DDIM or PLMS
Text-to-image models, such as DDIM or PLMS. -
OpenCLIP and LAION-5B
Language-guided image diffusion models, such as OpenCLIP and LAION-5B. -
DALL-E3 and Stable Diffusion Dataset
A dataset used by the authors to test their hypothesis about the white bear phenomenon in large models. -
White Bear Phenomenon Dataset
A dataset generated by the authors to test their hypothesis about the white bear phenomenon in large models. -
Circular Signal with Noise and Amplitude Variation
The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the... -
First-Order Polynomial Images
The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the... -
Multiple Subjects Generation
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a large-scale text-to-image model to generate images with multiple subjects. -
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
MARS is an innovative auto-regressive framework that not only retains the capabilities of pre-trained Large Language Models (LLMs) but also incorporates top-tier text-to-image... -
DPM-Solver++
The dataset used in the paper is DPM-Solver++ -
Exact Diffusion Inversion via Bi-directional Integration Approximation
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a pre-trained model to generate images. -
Image Generation from Scene Graphs
Image generation from scene graphs is a task in computer vision that requires generating images from graph-structured inputs, such as scene graphs. -
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-T...
Generating images from graph-structured inputs, such as scene graphs, is uniquely challenging due to the difficulty of aligning nodes and connections in graphs with objects and... -
RECAP: Principled Recaptioning Improves Image Generation
A text-to-image diffusion model trained on a recaptioned dataset to improve image generation quality and semantic alignment.
