-
SD-T2I-360PanoImage
The dataset used for the Text-to-360-Panoramas task, which consists of 360-degree panoramic images generated using diffusion models. -
Diffusion by Maximum Entropy IRL
Diffusion by Maximum Entropy IRL (DxMI) is an IRL approach for training a diffusion model and an energy-based model. -
Style Aligned Image Generation
StyleAligned is a method for generating style-consistent images using a reference style image. -
SPI-GAN: DENOISING DIFFUSION GANS WITH STRAIGHT-PATH INTERPOLATIONS
Score-based generative models (SGMs) show the state-of-the-art sampling quality and diversity. However, their training/sampling complexity is notoriously high due to the highly... -
Directional diffusion models for graph representation learning
Graph representation learning using directional diffusion models -
MV-VTON: Multi-View Virtual Try-On with Diffusion Models
The proposed method for Multi-View Virtual Try-On (MV-VTON) task, which aims at using the frontal and back clothing to reconstruct the dressing results of a person from multiple... -
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Corres...
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence -
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models
The dataset used in the paper for Bespoke Non-Stationary (BNS) solvers for fast sampling of diffusion and flow models. -
SynthBuster dataset
The SynthBuster dataset is a collection of images generated by various diffusion models. -
Diffusion Models Beat GANs on Image Synthesis
Diffusion models have recently emerged as the state-of-the-art of generative modeling, demonstrating remarkable results in image synthesis and across other modalities. -
Generative Manufacturing Systems
Generative Manufacturing Systems (GMS) dataset, using diffusion models and ChatGPT for implicit learning from envisioned futures. -
DreamBooth
The dataset used in this paper for testing the effectiveness of the disguise generation algorithm. -
CatVersion
CatVersion allows users to learn the personalized concept through a handful of examples and then utilize text prompts to generate images that embody the personalized concept. -
LION: Latent Point Diffusion Models for 3D Shape Generation
LION: Latent Point Diffusion Models for 3D Shape Generation -
DreamFusion gallery
The dataset used in the TextMesh paper, containing 35 text prompts for 3D mesh generation. -
DiffuseStyleGesture+
The DiffuseStyleGesture+ entry to the GENEA Challenge 2023 -
Videofusion: Decomposed diffusion models for high-quality video generation
Videofusion: Decomposed diffusion models for high-quality video generation.