{
  "title": "Daily Research Brief 2026-04-04",
  "url": "/en/posts/research-brief-2026-04-04/",
  "permalink": "https://hackcv.com/en/posts/research-brief-2026-04-04/",
  "date": "2026-04-04",
  "lastmod": "2026-04-04",
  "author": "",
  "description": "Daily research brief — AI / LLM / Agent / Computer Vision / Audio-Video / Engineering",
  "categories": ["Research Brief"],
  "tags": ["AI","LLM","Agent","Computer Vision","Audio-Video","Engineering","Daily Brief"],
  "cover": "https://picsum.photos/seed/daily-research-brief-2026-04-04/1200/675",
  "readingTime": 1,
  "wordCount": 103,
  "content": "\u003ch1 id=\"daily-research-brief-2026-04-04\"\u003eDaily Research Brief 2026-04-04\u003c/h1\u003e\n\u003cp\u003e📊 Token usage: estimated from retrieval and writing scale.\u003c/p\u003e\n\u003cp\u003eCovers the latest AI research, open source and industry moves, updated daily.\u003c/p\u003e\n\u003chr\u003e\n\u003ch2 id=\"editors-note\"\u003eEditor\u0026rsquo;s Note\u003c/h2\u003e\n\u003cp\u003eThe paper thread today: DOne design-to-code generation, test-time scaling making overtraining compute-optimal, unified 3D reconstruction and generation (UniRecGen), and a new codec language model for TTS.\u003c/p\u003e\n\u003ch2 id=\"1-latest-arxiv-papers\"\u003e1. Latest arXiv Papers\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDOne: A High-Fidelity Decoupled Framework for Design-to-Code Generation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.01226\"\u003ehttps://arxiv.org/abs/2604.01226\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eTest-Time Scaling Makes Overtraining Compute-Optimal\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.01411\"\u003ehttps://arxiv.org/abs/2604.01411\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eUniRecGen: Unified Multi-View 3D Reconstruction and Generation\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.01479\"\u003ehttps://arxiv.org/abs/2604.01479\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eT5Gemma-TTS: An Encoder-Decoder Codec Language Model for TTS\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.01760\"\u003ehttps://arxiv.org/abs/2604.01760\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003cstrong\u003eDySCo: Dynamic Semantic Compression for Long-Horizon Time-Series Forecasting\u003c/strong\u003e — \u003ca href=\"https://arxiv.org/abs/2604.01261\"\u003ehttps://arxiv.org/abs/2604.01261\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n",
  "summary": "Daily Research Brief 2026-04-04 📊 Token usage: estimated from retrieval and writing scale.\nCovers the latest AI research, open source and industry moves, updated daily.\nEditor\u0026rsquo;s Note The paper thread today: DOne design-to-code generation, test-time scaling making overtraining compute-optimal, unified 3D reconstruction and generation (UniRecGen), and a new codec language model for TTS.\n1. Latest arXiv Papers DOne: A High-Fidelity Decoupled Framework for Design-to-Code Generation — https://arxiv.org/abs/2604.01226\nTest-Time Scaling Makes Overtraining Compute-Optimal — https://arxiv.org/abs/2604.01411\n"
}