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Cosmological Field Emulation and Parameter Inference with Diffusion Models
Cosmological simulations play a crucial role in elucidating the effect of physical parameters on the statistics of fields and on constraining parameters given information on... -
ShiftDDPMs: Exploring Conditional Diffusion Models
Diffusion models have recently exhibited remarkable abilities to synthesize striking image samples since the introduction of denoising diffusion probabilistic models (DDPMs). -
TxtDiffusionForensics
The TxtDiffusionForensics dataset, which consists of a diffusion model and the corresponding text pairs. -
Memory in Plain Sight
The generative process of Diffusion Models (DMs) has recently set state-of-the-art on many AI generation benchmarks. -
LEARNING A DIFFUSION PRIOR FOR NERFS
The dataset is used for learning a diffusion prior for NeRFs that can generate NeRFs and be used as a prior for different test-time optimization algorithms. -
Diffusion Models dataset
The dataset used in the paper for diffusion model detection, containing synthetic images and real images. -
Blended diffusion for text-driven editing of natural images
Blended diffusion for text-driven editing of natural images -
Paint by Example: Exemplar-based image editing with diffusion models
Exemplar-based image editing with diffusion models -
Viton-HD: High-resolution virtual try-on via misalignment-aware normalization
High-resolution virtual try-on via misalignment-aware normalization -
scRNA-seq Diffusion Transformer (scRDiT)
Single-cell RNA sequencing (scRNA-seq) data generated using scRNA-seq Diffusion Transformer (scRDiT) -
weights2weights (w2w) Space
A dataset of over 60,000 customized diffusion model weights, each fine-tuned to insert a different person's visual identity. -
Denoising diffusion probabilistic models
Diffusion models currently stand as the predominant approach to generative modeling in audio and image domains. -
Deepfake Detection using Diffusion Models
The dataset contains real and fake face images generated by diffusion models. -
Shake-to-Leak (S2L) dataset
The dataset used in the Shake-to-Leak (S2L) attack, which is a fine-tuning attack on diffusion models. The dataset is a synthetic private set P generated by fine-tuning a... -
Stable Diffusion 2
The dataset used in this paper is Stable Diffusion 2, a popular diffusion model for image synthesis. -
Palette: Image-to-Image Diffusion Models
Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image... -
BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models
Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image... -
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion T...
Diffusion Transformer (DiT) has emerged as the new trend of generative diffusion models on image generation. In view of extremely slow convergence in typical DiT, recent... -
CelebA-HQ-FI and CelebA-25000
The dataset used in the paper is the CelebA-HQ-FI and CelebA-25000 datasets. -
Gaussian Shading
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
