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Collections including paper arxiv:2505.07447

Unified Multimodal Model

A curated list for Multimodal Model Generation papers.

OmniGen2: Exploration to Advanced Multimodal Generation

Paper • 2506.18871 • Published Jun 23 • 78
OmniGen: Unified Image Generation

Paper • 2409.11340 • Published Sep 17, 2024 • 115
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation

Paper • 2502.05415 • Published Feb 8 • 21
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 7.7k • 1.22k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 140 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 52
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Paper • 2412.12094 • Published Dec 16, 2024 • 11
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Paper • 2306.07691 • Published Jun 13, 2023 • 12
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Paper • 2203.02395 • Published Mar 4, 2022 • 1

AI Math: Diffusion

Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22, 2024 • 65
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22, 2024 • 36
Real-Time Video Generation with Pyramid Attention Broadcast

Paper • 2408.12588 • Published Aug 22, 2024 • 17
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 63

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 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

Training efficiency

Unified Continuous Generative Models

Paper • 2505.07447 • Published May 12 • 43

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

Generative Modeling Approachs

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Paper • 2412.10208 • Published Dec 13, 2024 • 19
Normalizing Flows are Capable Generative Models

Paper • 2412.06329 • Published Dec 9, 2024 • 11
A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published Dec 5, 2024 • 30
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2 • 44

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Unified Multimodal Model

A curated list for Multimodal Model Generation papers.

OmniGen2: Exploration to Advanced Multimodal Generation

Paper • 2506.18871 • Published Jun 23 • 78
OmniGen: Unified Image Generation

Paper • 2409.11340 • Published Sep 17, 2024 • 115
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation

Paper • 2502.05415 • Published Feb 8 • 21
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

Training efficiency

Unified Continuous Generative Models

Paper • 2505.07447 • Published May 12 • 43

microsoft/bitnet-b1.58-2B-4T

Text Generation • 0.8B • Updated May 1 • 7.7k • 1.22k
M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models

Paper • 2504.10449 • Published Apr 14 • 15
nvidia/Llama-3.1-Nemotron-8B-UltraLong-2M-Instruct

Text Generation • 8B • Updated Apr 17 • 140 • 15
ReTool: Reinforcement Learning for Strategic Tool Use in LLMs

Paper • 2504.11536 • Published Apr 15 • 63

CoRAG: Collaborative Retrieval-Augmented Generation

Paper • 2504.01883 • Published Apr 2 • 9
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Paper • 2504.08837 • Published Apr 10 • 43
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model

Paper • 2504.10068 • Published Apr 14 • 30
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations

Paper • 2504.10481 • Published Apr 14 • 85

How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 52
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Paper • 2412.12094 • Published Dec 16, 2024 • 11
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Paper • 2306.07691 • Published Jun 13, 2023 • 12
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Paper • 2203.02395 • Published Mar 4, 2022 • 1

Generative Modeling Approachs

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Paper • 2412.10208 • Published Dec 13, 2024 • 19
Normalizing Flows are Capable Generative Models

Paper • 2412.06329 • Published Dec 9, 2024 • 11
A Noise is Worth Diffusion Guidance

Paper • 2412.03895 • Published Dec 5, 2024 • 30
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Paper • 2501.01423 • Published Jan 2 • 44

AI Math: Diffusion

Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22, 2024 • 65
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations

Paper • 2408.12590 • Published Aug 22, 2024 • 36
Real-Time Video Generation with Pyramid Attention Broadcast

Paper • 2408.12588 • Published Aug 22, 2024 • 17
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 63

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

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

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 • 18
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

Paper • 2401.10891 • Published Jan 19, 2024 • 62
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Paper • 2401.13627 • Published Jan 24, 2024 • 77

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