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Collections including paper arxiv:2404.01367

Diffusion Models

Instruct-Imagen: Image Generation with Multi-modal Instruction

Paper • 2401.01952 • Published Jan 3 • 30
ODIN: A Single Model for 2D and 3D Perception

Paper • 2401.02416 • Published Jan 4 • 10
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Paper • 2404.02747 • Published Apr 3 • 11

Diffusion Model

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 48
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Paper • 2404.02905 • Published Apr 3 • 61
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3 • 19
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Paper • 2404.02747 • Published Apr 3 • 11
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Scaling Diffusion Models

Resources (papers) mostly related to studying the scaling aspects of diffusion models. The resources appear in non-chronological order.

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19
On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3 • 17
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Paper • 2403.03206 • Published Mar 5 • 46
Improved Denoising Diffusion Probabilistic Models

Paper • 2102.09672 • Published Feb 18, 2021 • 2

Papers - Training Research - Smaller vs Larger Models

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Papers - Training Research - Scaling Properties - T2I

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Papers - Johns Hopkins

Robust Open-Vocabulary Translation from Visual Text Representations

Paper • 2104.08211 • Published Apr 16, 2021 • 1
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Papers - Image - Synthetic Noise

Robust Open-Vocabulary Translation from Visual Text Representations

Paper • 2104.08211 • Published Apr 16, 2021 • 1
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 19

Papers - Google

Lumiere: A Space-Time Diffusion Model for Video Generation

Paper • 2401.12945 • Published Jan 23 • 83
Long-form factuality in large language models

Paper • 2403.18802 • Published Mar 27 • 23
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion

Paper • 2403.18818 • Published Mar 27 • 22
TC4D: Trajectory-Conditioned Text-to-4D Generation

Paper • 2403.17920 • Published Mar 26 • 15

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