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RealMe advances volumetric video, while Qwen fine-tunes show efficiency gains

By PulseAugur Editorial · [7 sources] ·

A new paper introduces RealMe, a framework for generating high-resolution, 4D-consistent volumetric videos from minimal captures using a video diffusion model. This approach enhances sparse video data to create immersive content, outperforming existing methods on benchmarks like DNA-Rendering and RealVV. Separately, the Ornith-1.5-122B and Tess-4.5-27B models, both fine-tuned on Qwen, have been released, with Tess-4.5 demonstrating improved efficiency by using fewer tokens for similar or better results. AI

IMPACT RealMe could enable more accessible creation of immersive volumetric content, while Qwen fine-tunes highlight efficiency gains in LLM token usage.

RANK_REASON The cluster contains a research paper on volumetric video generation and announcements of fine-tuned language models.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 7 sources. How we write summaries →

RealMe advances volumetric video, while Qwen fine-tunes show efficiency gains

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The cluster contains a research paper on volumetric video generation and announcements of fine-tuned language models.
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paper, model release
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COVERAGE [7]

  1. llama.cpp — Releases TIER_1 (SO) · github-actions[bot] ·

    b11787

    <details open=""> <p>sycl: collapse duplicate need_check launch bodies in mmq (<a class="issue-link js-issue-link" href="https://github.com/ggml-org/llama.cpp/pull/30739">#30739</a>)</p> </details> <p><strong>Website:</strong></p> <ul> <li><a href="https://llama.app" rel="nofollo…

  2. Claude Agent SDK (Python) — Releases TIER_1 (SK) · github-actions[bot] ·

    v0.2.171

    <h3>Internal/Other Changes</h3> <ul> <li>Updated bundled Claude CLI to version 2.1.307</li> </ul> <hr /> <p><strong>PyPI:</strong> <a href="https://pypi.org/project/claude-agent-sdk/0.2.171/" rel="nofollow">https://pypi.org/project/claude-agent-sdk/0.2.171/</a></p> <div class="hi…

  3. Hugging Face Daily Papers TIER_1 Română(RO) ·

    RealMe: Immersive Volumetric Video from Minimal Captures

    This paper addresses the problem of creating immersive volumetric videos from sparse and low-resolution capture resources. Conventional dense multi-view reconstruction methods can produce high-quality volumetric videos, but their reliance on costly capture setups makes them impra…

  4. Hugging Face Daily Papers TIER_1 Română(RO) ·

    RealMe: Immersive Volumetric Video from Minimal Captures

    RealMe enhances sparse, low-resolution multi-view captures into high-resolution, 4D-consistent videos using a video diffusion model with layout-aware attention and frequency-domain latent supervision for volumetric reconstruction.

  5. arXiv cs.CV TIER_1 Română(RO) · Chenxu Zhou, Zhiyuan Yu, Yudong Jin, Yinji Shentu, Yu Zhang, Jiaming Sun, Xiaowei Zhou ·

    RealMe: Immersive Volumetric Video from Minimal Captures

    arXiv:2610.30023v1 Announce Type: new Abstract: This paper addresses the problem of creating immersive volumetric videos from sparse and low-resolution capture resources. Conventional dense multi-view reconstruction methods can produce high-quality volumetric videos, but their re…

  6. r/LocalLLaMA TIER_1 English(EN) · /u/jacek2023 ·

    ornith-ai/Ornith-1.5-122B (Qwen finetune)

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xatebw/ornithaiornith15122b_qwen_finetune/"> <img alt="ornith-ai/Ornith-1.5-122B (Qwen finetune)" src="https://external-preview.redd.it/XdKy6krZsjmMVd9FJJ84S5HqN9eZpmhT75otFP1pRUU.png?width=640&amp;crop=smart…

  7. r/LocalLLaMA TIER_1 Deutsch(DE) · /u/jacek2023 ·

    migtissera/Tess-4.5-27B (Qwen finetune)

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1xadfm7/migtisseratess4527b_qwen_finetune/"> <img alt="migtissera/Tess-4.5-27B (Qwen finetune)" src="https://external-preview.redd.it/TjzWgrPtxrSFRpEV7oisoVykVg9ZZXDDJw8P6OXvb00.png?width=640&amp;crop=smart&am…

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