| SD3.5-Medium+Flow-GRPO |
- Overall
- 0.95
|
Flow-GRPO: Training Flow Matching Models via Online RL 2025-05-08 |
코드 1 |
| UniWorld-V1 (Rewrite) |
- Single Obj.
- 0.98
- Two Obj.
- 0.93
- Counting
- 0.81
- Colors
- 0.90
- Position
- 0.74
- Color Attri.
- 0.71
- Overall
- 0.84
|
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation 2025-06-03 |
코드 1 · 코드 2 |
| MindOmni |
- Single Obj.
- 0.99
- Two Obj.
- 0.94
- Counting
- 0.71
- Colors
- 0.90
- Position
- 0.71
- Color Attri.
- 0.71
- Overall
- 0.83
|
MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO 2025-05-19 |
코드 1 |
| UniWorld-V1 |
- Single Obj.
- 0.99
- Two Obj.
- 0.93
- Counting
- 0.79
- Colors
- 0.89
- Position
- 0.49
- Color Attri.
- 0.70
- Overall
- 0.80
|
UniWorld-V1: High-Resolution Semantic Encoders for Unified Visual Understanding and Generation 2025-06-03 |
코드 1 · 코드 2 |
| SANA-1.5 4.8B (+ Inference Scaling) |
- Overall
- 0.80
|
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer 2025-01-30 |
코드 1 |
| Janus-Pro-7B |
- Overall
- 0.80
|
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling 2025-01-29 |
코드 1 |
| MetaQuery-XL (Rewrite) |
- Overall
- 0.80
|
Transfer between Modalities with MetaQueries 2025-04-08 |
연결 없음 |
| Show-o [xie2024show] PARM It. DPO PARM |
- Overall
- 0.77
|
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step 2025-01-23 |
코드 1 · 코드 2 |
| Show-o [xie2024show] Ft. ORM It. DPO Ft. ORM |
- Overall
- 0.75
|
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step 2025-01-23 |
코드 1 · 코드 2 |
| Janus-Pro-1B |
- Overall
- 0.73
|
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling 2025-01-29 |
코드 1 |
| Lumina-Image 2.0 |
- Overall
- 0.73
|
Lumina-Image 2.0: A Unified and Efficient Image Generative Framework 2025-03-27 |
코드 1 |
| SANA-1.5 4.8B |
- Single Obj.
- 0.99
- Two Obj.
- 0.85
- Overall
- 0.72
|
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer 2025-01-30 |
코드 1 |
| Fluid (10.5B) |
- Single Obj.
- 0.96
- Two Obj.
- 0.83
- Counting
- 0.63
- Colors
- 0.80
- Position
- 0.39
- Color Attri.
- 0.51
- Overall
- 0.69
|
Fluid: Scaling Autoregressive Text-to-image Generative Models with Continuous Tokens 2024-10-17 |
코드 1 |
| Und. and Gen. Show-o (Ours) |
- Overall
- 0.68
|
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation 2024-08-22 |
코드 1 |
| Emu3 |
- Overall
- 0.66
|
Emu3: Next-Token Prediction is All You Need 2024-09-27 |
코드 1 · 코드 2 |
| SnapGen |
- Overall
- 0.66
|
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training 2024-12-12 |
연결 없음 |
| JanusFlow |
- Overall
- 0.63
|
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation 2024-11-12 |
코드 1 |
| PixArt-Σ |
- Overall
- 0.53
|
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation 2024-03-07 |
코드 1 · 코드 2 |
| DiffMoE-E16-T2I-Flow (w SFT) |
- Overall
- 0.51
|
DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers 2025-03-18 |
연결 없음 |
| PIXART-δ |
- Overall
- 0
|
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models 2024-01-10 |
코드 1 |