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Collections including paper arxiv:2403.16990

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning

Paper • 2306.07967 • Published Jun 13, 2023 • 24
Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation

Paper • 2306.07954 • Published Jun 13, 2023 • 113
TryOnDiffusion: A Tale of Two UNets

Paper • 2306.08276 • Published Jun 14, 2023 • 72
Seeing the World through Your Eyes

Paper • 2306.09348 • Published Jun 15, 2023 • 32

TextCraftor: Your Text Encoder Can be Image Quality Controller

Paper • 2403.18978 • Published Mar 27 • 13
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24

Papers - Image - Segmentation - Bounding Box Infilling

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

Paper • 2403.16990 • Published Mar 25 • 24

Improving Text-to-Image Consistency via Automatic Prompt Optimization

Paper • 2403.17804 • Published Mar 26 • 15
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 29
Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1 • 11

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

Paper • 2403.16990 • Published Mar 25 • 24

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

Paper • 2403.16990 • Published Mar 25 • 24

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Paper • 2403.12015 • Published Mar 18 • 63
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

Paper • 2403.16990 • Published Mar 25 • 24
SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions

Paper • 2403.16627 • Published Mar 25 • 20
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models

Paper • 2403.17005 • Published Mar 25 • 13

All the papers I found interesting

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

Paper • 2402.19481 • Published Feb 29 • 20
FiT: Flexible Vision Transformer for Diffusion Model

Paper • 2402.12376 • Published Feb 19 • 48
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Paper • 2402.17193 • Published Feb 27 • 23
ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Paper • 2403.05135 • Published Mar 8 • 42

PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models

Paper • 2402.08714 • Published Feb 13 • 10
Data Engineering for Scaling Language Models to 128K Context

Paper • 2402.10171 • Published Feb 15 • 21
RLVF: Learning from Verbal Feedback without Overgeneralization

Paper • 2402.10893 • Published Feb 16 • 10
Coercing LLMs to do and reveal (almost) anything

Paper • 2402.14020 • Published Feb 21 • 12

A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation

Paper • 2310.16656 • Published Oct 25, 2023 • 39
Unsupervised Universal Image Segmentation

Paper • 2312.17243 • Published Dec 28, 2023 • 19
Self-Discover: Large Language Models Self-Compose Reasoning Structures

Paper • 2402.03620 • Published Feb 6 • 109
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Paper • 2402.04248 • Published Feb 6 • 28

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