FreeU: Free Lunch in Diffusion U-Net
Paper
• 2309.11497 • Published
• 66
t2i
-
-
Imagic: Text-Based Real Image Editing with Diffusion Models
Paper • 2210.09276 • Published • 1 -
On Architectural Compression of Text-to-Image Diffusion Models
Paper • 2305.15798 • Published • 5 -
Wuerstchen: Efficient Pretraining of Text-to-Image Models
Paper • 2306.00637 • Published • 13 -
CLIP-KD: An Empirical Study of Distilling CLIP Models
Paper • 2307.12732 • Published -
Online Clustered Codebook
Paper • 2307.15139 • Published • 1 -
Residual Denoising Diffusion Models
Paper • 2308.13712 • Published • 3 -
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Paper • 2309.06380 • Published • 33 -
Restart Sampling for Improving Generative Processes
Paper • 2306.14878 • Published • 5 -
Controlling Text-to-Image Diffusion by Orthogonal Finetuning
Paper • 2306.07280 • Published • 25 -
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack
Paper • 2309.15807 • Published • 34 -
Finite Scalar Quantization: VQ-VAE Made Simple
Paper • 2309.15505 • Published • 24 -
Muse: Text-To-Image Generation via Masked Generative Transformers
Paper • 2301.00704 • Published -
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Paper • 2310.00426 • Published • 61 -
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
Paper • 2310.13268 • Published • 18 -
CommonCanvas: An Open Diffusion Model Trained with Creative-Commons Images
Paper • 2310.16825 • Published • 36 -
Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach
Paper • 2310.12004 • Published • 2 -
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding
Paper • 2310.15308 • Published • 23 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 45 -
Beyond U: Making Diffusion Models Faster & Lighter
Paper • 2310.20092 • Published • 12 -
I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models
Paper • 2311.04145 • Published • 34 -
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Paper • 2309.14068 • Published • 1 -
Denoising Diffusion Step-aware Models
Paper • 2310.03337 • Published • 1 -
DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures
Paper • 2310.04750 • Published • 1 -
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
Paper • 2401.05252 • Published • 49 -
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
Paper • 2401.11708 • Published • 30 -
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion
Paper • 2401.13388 • Published • 13 -
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
Paper • 2401.14404 • Published • 18 -
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
Paper • 2404.03653 • Published • 35