OneIG-Bench: Omni-dimensional Nuanced Evaluation for Image Generation
Paper
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2506.07977
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Published
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41
Image Generation
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Rethinking Cross-Modal Interaction in Multimodal Diffusion Transformers
Paper • 2506.07986 • Published • 19 -
STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
Paper • 2506.06276 • Published • 26 -
Aligning Latent Spaces with Flow Priors
Paper • 2506.05240 • Published • 27 -
Image Editing As Programs with Diffusion Models
Paper • 2506.04158 • Published • 24 -
D-AR: Diffusion via Autoregressive Models
Paper • 2505.23660 • Published • 34 -
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers
Paper • 2505.23758 • Published • 22 -
OmniConsistency: Learning Style-Agnostic Consistency from Paired Stylization Data
Paper • 2505.18445 • Published • 63 -
DDT: Decoupled Diffusion Transformer
Paper • 2504.05741 • Published • 77 -
Step1X-Edit: A Practical Framework for General Image Editing
Paper • 2504.17761 • Published • 92 -
DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning
Paper • 2504.14509 • Published • 50 -
VisualCloze: A Universal Image Generation Framework via Visual In-Context Learning
Paper • 2504.07960 • Published • 50 -
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation
Paper • 2504.02160 • Published • 37 -
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Paper • 2503.09573 • Published • 74 -
PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity
Paper • 2503.07677 • Published • 86 -
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
Paper • 2503.07703 • Published • 37 -
InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
Paper • 2503.16418 • Published • 36 -
Flow-GRPO: Training Flow Matching Models via Online RL
Paper • 2505.05470 • Published • 86 -
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
Paper • 2504.20690 • Published • 19 -
Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models
Paper • 2504.17789 • Published • 23 -
Seedream 3.0 Technical Report
Paper • 2504.11346 • Published • 70 -
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation
Paper • 2504.08736 • Published • 46 -
PixelFlow: Pixel-Space Generative Models with Flow
Paper • 2504.07963 • Published • 18 -
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL
Paper • 2504.11455 • Published • 14 -
D^2iT: Dynamic Diffusion Transformer for Accurate Image Generation
Paper • 2504.09454 • Published • 11 -
OminiControl: Minimal and Universal Control for Diffusion Transformer
Paper • 2411.15098 • Published • 61 -
Flow Matching for Generative Modeling
Paper • 2210.02747 • Published • 3 -
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
Paper • 2209.03003 • Published • 2 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71 -
Align Your Flow: Scaling Continuous-Time Flow Map Distillation
Paper • 2506.14603 • Published • 19 -
OmniGen2: Exploration to Advanced Multimodal Generation
Paper • 2506.18871 • Published • 78 -
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
Paper • 2506.19713 • Published • 14 -
XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation
Paper • 2506.21416 • Published • 28 -
SingLoRA: Low Rank Adaptation Using a Single Matrix
Paper • 2507.05566 • Published • 113 -
Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation
Paper • 2507.08441 • Published • 61 -
Qwen-Image Technical Report
Paper • 2508.02324 • Published • 267 -
NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale
Paper • 2508.10711 • Published • 145 -
Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation
Paper • 2508.07981 • Published • 58 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29 -
Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
Paper • 2508.08134 • Published • 10 -
Next Visual Granularity Generation
Paper • 2508.12811 • Published • 49 -
S^2-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models
Paper • 2508.12880 • Published • 46 -
MultiRef: Controllable Image Generation with Multiple Visual References
Paper • 2508.06905 • Published • 21 -
Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
Paper • 2508.09131 • Published • 16 -
OmniTry: Virtual Try-On Anything without Masks
Paper • 2508.13632 • Published • 16 -
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Paper • 2508.02193 • Published • 133 -
Seedream 4.0: Toward Next-generation Multimodal Image Generation
Paper • 2509.20427 • Published • 82 -
DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Paper • 2509.16117 • Published • 22 -
EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
Paper • 2509.20360 • Published • 17 -
CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching
Paper • 2509.19300 • Published • 6 -
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
Paper • 2510.06308 • Published • 54 -
Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer
Paper • 2510.06590 • Published • 73 -
Diffusion Transformers with Representation Autoencoders
Paper • 2510.11690 • Published • 165 -
Latent Diffusion Model without Variational Autoencoder
Paper • 2510.15301 • Published • 49 -
WithAnyone: Towards Controllable and ID Consistent Image Generation
Paper • 2510.14975 • Published • 84 -
Learning an Image Editing Model without Image Editing Pairs
Paper • 2510.14978 • Published • 8 -
The Principles of Diffusion Models
Paper • 2510.21890 • Published • 60 -
Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation
Paper • 2510.08673 • Published • 125 -
From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model
Paper • 2510.19871 • Published • 29 -
From Editor to Dense Geometry Estimator
Paper • 2509.04338 • Published • 92 -
AToken: A Unified Tokenizer for Vision
Paper • 2509.14476 • Published • 36 -
DoPE: Denoising Rotary Position Embedding
Paper • 2511.09146 • Published • 95