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Collections including paper arxiv:2408.11001

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 23 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 23
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 83
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

AI Math: Diffusion

Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22, 2024 • 64
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22, 2024 • 35
Real-Time Video Generation with Pyramid Attention Broadcast

Paper • 2408.12588 • Published Aug 22, 2024 • 16
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 58

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models

Paper • 2406.09416 • Published Jun 13, 2024 • 28
Wavelets Are All You Need for Autoregressive Image Generation

Paper • 2406.19997 • Published Jun 28, 2024 • 30
ViPer: Visual Personalization of Generative Models via Individual Preference Learning

Paper • 2407.17365 • Published Jul 24, 2024 • 12
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Paper • 2408.11001 • Published Aug 20, 2024 • 12

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

Paper • 2311.17049 • Published Nov 28, 2023 • 1
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7, 2024 • 14
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 • 6

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

Paper • 2403.10516 • Published Mar 15, 2024 • 16
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis

Paper • 2403.12963 • Published Mar 19, 2024 • 8
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning

Paper • 2408.11001 • Published Aug 20, 2024 • 12

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 41
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

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

Paper • 2401.09048 • Published Jan 17, 2024 • 10
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

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Paper • 2311.10709 • Published Nov 17, 2023 • 24
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control

Paper • 2405.12970 • Published May 21, 2024 • 24
FIFO-Diffusion: Generating Infinite Videos from Text without Training

Paper • 2405.11473 • Published May 19, 2024 • 54
stabilityai/stable-diffusion-3-medium

Text-to-Image • Updated Aug 12, 2024 • 26.4k • 4.67k

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