Tag: #image-generation
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 8 posts
Image Generation and Understanding Technical Reports: What to Read, and Why Design Beats Sample Images
Eleven image generation and understanding technical reports, each verified by opening the arXiv abstract page directly. Rectified flow transformers, VAR, Emu3, SANA, Janus-Pro, FLUX.1 Kontext, the Qwen-Image line, Seedre
2026-08-12 · 8 min read #ai-papers#paper-review#technical-report#image-generation#diffusion-transformerAI Image Generation 2026 — Flux / Midjourney 7 / Ideogram 3 / Recraft / SD 3.5 / GPT-4o / Imagen 4 Deep Dive
AI image generation in 2026 is no longer a single-model story. Black Forest Labs Flux 1.1 Pro and Kontext set a new bar for photorealistic open-weight quality, Midjourney 7 cemented itself as the aesthetic standard, Ideo
2026-05-15 · 27 min read #ai-image#image-generation#flux#midjourney#ideogramDiffusion Model Paper Survey: Evolution of Image Generation from DDPM to Stable Diffusion, DiT, and SDXL
A comprehensive survey covering the DDPM/DDIM forward-reverse diffusion theory, score-based models, Latent Diffusion (Stable Diffusion) VAE+U-Net architecture, Classifier-free Guidance, DiT (Diffusion Transformer) adaLN-
2026-03-12 · 18 min read #ai-papers#diffusion-model#ddpm#stable-diffusion#ditDiffusion Transformer (DiT) Architecture Analysis: The Shift from U-Net to Transformer
An analysis of the Scalable Diffusion Models with Transformers (DiT) paper. We cover the motivations behind transitioning from U-Net backbones to Transformers, adaLN-Zero conditioning, scaling laws, and the downstream im
2026-03-03 · 10 min read #ai-papers#diffusion-transformer#dit#generative-ai#image-generationAI Prompt Engineering Complete Guide — Information Retrieval, Image/Video Generation, and Debugging (KR/EN/JA)
Prompt techniques for getting great results from AI, organized by use case: information retrieval, image/video generation, and debugging. Includes practical expressions in three languages — Korean, English, and Japanese.
2026-03-02 · 17 min read #ai#prompt-engineering#multilingual#image-generation#debuggingWan Text-to-Video/Image-to-Video and Z Image Turbo Complete Analysis: Architecture and Applications of Next-Gen Video/Image Generation Models
A complete analysis of Wan video generation models and Z Image Turbo covering architecture, performance, and practical applications.
2026-03-01 · 36 min read #wan#text-to-video#image-to-video#z-image-turbo#video-generationGAN Paper Deep Dive: How Generative Adversarial Networks Ushered in the Era of AI-Generated Content
From Ian Goodfellow's original GAN paper through DCGAN, WGAN, Progressive GAN, and StyleGAN -- we analyze the core theory of generative adversarial networks including the minimax game, Nash equilibrium, and training inst
2026-03-01 · 34 min read #gan#generative-model#adversarial-training#deep-learning#image-generationComplete Analysis of the DDPM Paper: The Mathematics and Principles of Diffusion Models that Create Images from Noise
An in-depth analysis of the DDPM paper by Ho et al. We derive the Forward/Reverse diffusion process, variational lower bound (ELBO), noise scheduling, and simplified training objective from formulas, and provide a compre
2026-03-01 · 31 min read #ddpm#diffusion-model#generative-model#score-matching#stable-diffusion