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Collections including paper arxiv:2404.01367

Papers - Training Research

Measuring the Effects of Data Parallelism on Neural Network Training

Paper • 1811.03600 • Published Nov 8, 2018 • 2
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Paper • 1804.04235 • Published Apr 11, 2018 • 2
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Paper • 1905.11946 • Published May 28, 2019 • 3
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 62

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 • 11
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1 • 20
Cross-Attention Makes Inference Cumbersome in Text-to-Image Diffusion Models

Paper • 2404.02747 • Published Apr 3 • 11

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

Paper • 2312.09608 • Published Dec 15, 2023 • 13
CodeFusion: A Pre-trained Diffusion Model for Code Generation

Paper • 2310.17680 • Published Oct 26, 2023 • 69
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Real Image

Paper • 2310.17994 • Published Oct 27, 2023 • 8
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level Loss

Paper • 2401.02677 • Published Jan 5 • 21

StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

Paper • 2312.12491 • Published Dec 19, 2023 • 69
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs

Paper • 2401.11708 • Published Jan 22 • 29
Training-Free Consistent Text-to-Image Generation

Paper • 2402.03286 • Published Feb 5 • 64
PALP: Prompt Aligned Personalization of Text-to-Image Models

Paper • 2401.06105 • Published Jan 11 • 46

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