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Collections including paper arxiv:2406.04333

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

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

For Content Creator

Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era

Paper • 2305.06131 • Published May 10, 2023 • 2
Perpetual Humanoid Control for Real-time Simulated Avatars

Paper • 2305.06456 • Published May 10, 2023 • 1
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

Paper • 2305.10973 • Published May 18, 2023 • 32
LDM3D: Latent Diffusion Model for 3D

Paper • 2305.10853 • Published May 18, 2023 • 10

BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Paper • 2406.04333 • Published Jun 6 • 36

Papers - BitNet

Additional paper with faq, code and tips on: https://github.com/microsoft/unilm/blob/master/bitnet/The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ.pdf

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Paper • 2405.05254 • Published May 8 • 9
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Paper • 2406.04333 • Published Jun 6 • 36

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 13
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

Image Generation

EdgeFusion: On-Device Text-to-Image Generation

Paper • 2404.11925 • Published Apr 18 • 21
Dynamic Typography: Bringing Words to Life

Paper • 2404.11614 • Published Apr 17 • 43
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Paper • 2404.07987 • Published Apr 11 • 47
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Paper • 2404.07724 • Published Apr 11 • 12

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching

Paper • 2404.03653 • Published Apr 4 • 33
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Paper • 2406.04333 • Published Jun 6 • 36
GIVT: Generative Infinite-Vocabulary Transformers

Paper • 2312.02116 • Published Dec 4, 2023 • 10

Improving Text-to-Image Consistency via Automatic Prompt Optimization

Paper • 2403.17804 • Published Mar 26 • 16
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation

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

Paper • 2404.01197 • Published Apr 1 • 30
Condition-Aware Neural Network for Controlled Image Generation

Paper • 2404.01143 • Published Apr 1 • 11

U-Net: Convolutional Networks for Biomedical Image Segmentation

Paper • 1505.04597 • Published May 18, 2015 • 7
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images

Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2

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