#diffusion
- Pixal3D: Pixel-Aligned Image-to-3D Generation Accepted at SIGGRAPH 2026 Tencent ARC Lab research
- Vidu S1: Real-Time Interactive Video Generation at 42 FPS on Consumer GPUs Shengshu Technology / Tsinghua University research
- UniVidX: One Diffusion Backbone for RGB, Intrinsic Maps, and RGBA Video Generation research
- Mean Mode Screaming: Training Pathology Fix Enables 1000-Layer Diffusion Transformers research
- Flow-OPD: On-Policy Distillation Pushes GenEval +29 Points on Stable Diffusion 3.5 research
- Qwen-Image-2.0: Unified Image Generation and Editing at 2K Resolution, Top-1 on AI Arena Alibaba research
- Asymmetric Flow Models: SOTA 1.57 FID on ImageNet via Rank-Asymmetric Velocity Parameterization Stanford University research
- Krea Releases Krea 2 Raw and Turbo Open Weights: 12B DiT Image Model Generating in 2 Seconds Krea image
- Sber Open-Sources GFusion, Russia's First Diffusion Language Model Sber models-llm
- MrFlow: Training-Free 10-25x Speedup for Flow-Matching Text-to-Image Models Beihang University research
- Vidu S1: A Real-Time Interactive Video Generation Model ShengShu Technology research
- Moebius: 0.2B Lightweight Image Inpainting Framework Matches 11.9B FLUX Model Huazhong University of Science and Technology research
- Self Gradient Forcing: Native Long Video Extrapolation research
- Orthrus: 7.8x Inference Speedup for Qwen3 via Autoregressive-Diffusion KV Sharing research
- Causal Forcing++: 2-Step Distillation Enables Real-Time Interactive Video Generation Tsinghua University research
- SANA-WM: Minute-Scale 720p World Modeling on a Single GPU NVIDIA research
- Flow-DPPO: Principled RL Alignment for Flow Matching Image and Video Models Tencent Hunyuan research
- Boogu-Image-0.1: Strong Open-Source 10B Diffusion Transformer for Text-to-Image and Editing Boogu Project research
- Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Microsoft Research research
- AnyFlow: Any-Step Video Diffusion with On-Policy Flow Map Distillation MIT / NVIDIA research
- Cola DLM: Continuous Latent Diffusion Language Model with Competitive Scaling research
- SCAIL-2: End-to-End Character Animation via In-Context Conditioning Tsinghua University research
- Diffusion-Proof: Formal Theorem Proving via Diffusion Language Models research
- DreamReasoner-8B: Block-Size Curriculum for Diffusion Reasoning Models research
- Tencent Hunyuan Open-Sources UniRL: Unified RL Post-Training for LLMs and Diffusion Models Tencent / Hunyuan research
- Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Microsoft research