Synthesizing Market Data with Autoregressive Flow Matching
186
Jane Street researchers used flow-matching diffusion and 'atom smoothing' to create a generative model capable of synthesizing complex, discrete-continuous market data streams.
Diffusion Models
Generative models that learn to denoise data through iterative refinement steps, widely used for image generation, video synthesis, and other creative AI applications.
Reading List
Krea 2: A Foundation Model for Creative Exploration and Control
374
Krea 2 is an open-weights image foundation model series optimized for creative steerability and aesthetic diversity through a sophisticated multi-stage training and infrastructure stack.
I-DLM: Matching Autoregressive Quality with Parallel Diffusion Speed
267
I-DLM achieves autoregressive-level quality and significantly higher throughput by incorporating a self-verification mechanism into parallel diffusion decoding.
Skyfall-GS: Real-Time City-Scale 3D from Satellite Images via Diffusion-Guided Refinement
147
Skyfall-GS fuses satellite imagery with diffusion-driven iterative refinement to produce real-time, city-scale 3D scenes with superior geometry and textures—without 3D annotations.
Single‑Pass Image Editing Showdown: Style Wins, Precision Still Hard
342
Image editors are improving, but precise, localized, constraint-respecting edits remain the Achilles’ heel—even the best models stumble on spatial swaps and selective removals.
Ovi: Open-Source Text-to-Audio-Video Generation with Efficient Inference
314
An open-source, configurable system for synchronized text-conditioned video and audio generation that runs on modest GPUs via quantization and parallelism.
Turning BERT’s MLM Into a Text Diffusion Generator
455
BERT-style MLM is a single-step text diffusion process, and extending it to multiple masking steps turns RoBERTa into a workable text generator.
HunyuanWorld-Voyager: World-Consistent RGB-D Video and 3D from a Single Image
322
An open-source, world-consistent RGB-D video generator that turns a single image into controllable, long-range 3D scene explorations with state-of-the-art performance.
Sharing Early Diffusion Steps Across Similar Prompts for Efficient Text-to-Image Generation
Share early diffusion steps across similar prompts to generate image sets faster and better, without retraining.