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Collections including paper arxiv:2402.15504

Applied Machine Learning Papers

Reading List (Mainly Focused of VLM's and Diffusion Models)

Scalable Diffusion Models with Transformers

Paper • 2212.09748 • Published Dec 19, 2022 • 17
Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Paper • 2311.15127 • Published Nov 25, 2023 • 12
Learning Transferable Visual Models From Natural Language Supervision

Paper • 2103.00020 • Published Feb 26, 2021 • 11
U-Net: Convolutional Networks for Biomedical Image Segmentation

Paper • 1505.04597 • Published May 18, 2015 • 9

diffusion research

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

Paper • 2402.15504 • Published Feb 23, 2024 • 21
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Paper • 2404.07987 • Published Apr 11, 2024 • 47

Papers - Pipeline - Multimodal

Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

Paper • 2402.15504 • Published Feb 23, 2024 • 21
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents

Paper • 2310.16527 • Published Oct 25, 2023 • 2

Models - Multimodal

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Paper • 2402.12226 • Published Feb 19, 2024 • 41
M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition

Paper • 2401.11649 • Published Jan 22, 2024 • 3
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

Paper • 2402.15504 • Published Feb 23, 2024 • 21
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions

Paper • 2402.17485 • Published Feb 27, 2024 • 190

Learning Vision from Models Rivals Learning Vision from Data

Paper • 2312.17742 • Published Dec 28, 2023 • 15
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition

Paper • 2402.15504 • Published Feb 23, 2024 • 21

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Paper • 2401.09048 • Published Jan 17, 2024 • 9
Improving fine-grained understanding in image-text pre-training

Paper • 2401.09865 • Published Jan 18, 2024 • 16
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 60
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 73

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, 2024 • 30
Training-Free Consistent Text-to-Image Generation

Paper • 2402.03286 • Published Feb 5, 2024 • 65
PALP: Prompt Aligned Personalization of Text-to-Image Models

Paper • 2401.06105 • Published Jan 11, 2024 • 47

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 • 112
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 • 33

Generative Multiple Modality

Random Field Augmentations for Self-Supervised Representation Learning

Paper • 2311.03629 • Published Nov 7, 2023 • 6
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models

Paper • 2311.04589 • Published Nov 8, 2023 • 18
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs

Paper • 2311.04901 • Published Nov 8, 2023 • 7
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models

Paper • 2311.06783 • Published Nov 12, 2023 • 26

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