438 lines
18 KiB
HTML
438 lines
18 KiB
HTML
<!DOCTYPE html>
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<html lang="zh-CN">
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>InSpatio-World 4D 世界模型 — 深度核查</title>
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font-size: 1.2rem; font-weight: 700; color: #fff; flex-shrink: 0;
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.person-info h4 { color: #e0e0e0; margin-bottom: 0.25rem; }
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.person-info p { font-size: 0.85rem; color: #888; line-height: 1.6; }
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.claim-row {
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@media (max-width: 768px) {
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.claim-row { grid-template-columns: 1fr; }
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h1 { font-size: 1.8rem; }
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}
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</style>
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</head>
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<body>
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<div class="container">
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<h1>InSpatio-World</h1>
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<p class="subtitle">Video-Conditioned 4D World Model — 深度核查报告</p>
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<p class="meta">
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InSpatio (2026.03.18) |
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1.3B 参数 · Apache-2.0 开源 |
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<a href="https://inspatio.github.io/inspatio-world/" target="_blank">Project Page</a> |
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<a href="https://github.com/inspatio/inspatio-world" target="_blank">GitHub</a> |
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<a href="https://arxiv.org/abs/2603.11911" target="_blank">WorldFM Paper</a>
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<span class="verdict-badge">噱头成分较重</span>
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</p>
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<!-- 核查结论 -->
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<div class="verdict-box">
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<h2>核查结论：团队靠谱，宣传跑在技术前面</h2>
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<p>不是骗局，但营销话术明显夸大。<br>
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真实水平：一个有实力的创业团队发布了<span class="highlight-yellow">早期开源原型</span>，<br>
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但宣传文案按"已验证突破"级别在写。4D 模型<span class="highlight-red">无技术论文</span>，零独立评测。</p>
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</div>
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<!-- 团队背景 -->
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<div class="card">
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<h2>团队背景 — 这部分是真的</h2>
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<div class="person-card">
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<div class="person-avatar">章</div>
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<div class="person-info">
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<h4>章国锋 — 创始人 & CEO</h4>
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<p>浙江大学 CAD&CG 国家重点实验室教授 · 前商汤首席科学家 · 20+ 年 3D 视觉研究 · ISMAR 最佳论文 · Google Scholar 高引用</p>
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</div>
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</div>
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<div class="person-card">
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<div class="person-avatar">刘</div>
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<div class="person-info">
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<h4>刘浩敏 — 联合创始人 & CTO</h4>
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<p>前商汤研发总监 · 浙大博士 · 商用移动端 SLAM 方案开创者（早于 ARKit/ARCore）· 主导商汤 StarGen 基础模型</p>
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</div>
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</div>
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<p style="margin-top: 1rem;">
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<span class="tag">浙大 CAD&CG 实验室</span>
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<span class="tag">前商汤 3D 视觉核心团队</span>
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<span class="tag">18 人研发团队</span>
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<span class="tag">2025 年成立</span>
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</p>
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<p style="margin-top: 0.75rem; color: #4ade80; font-size: 0.9rem;">
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团队学术背景过硬，在 SLAM、3D 重建领域有真实且可验证的积累。
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</p>
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</div>
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<!-- 技术架构 -->
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<div class="card">
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<h2>技术架构</h2>
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<p style="margin-bottom: 1rem;">以视频为条件锚定"局部世界状态"，生成可交互的 4D 场景：</p>
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<div class="pipeline">
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<div class="pipeline-step">
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<strong>输入视频</strong><br>
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<small style="color:#888">任意视频片段</small>
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</div>
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<span class="pipeline-arrow">→</span>
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<div class="pipeline-step">
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<strong>Depth-Anything-3</strong><br>
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<small style="color:#888">深度估计</small>
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</div>
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<span class="pipeline-arrow">→</span>
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<div class="pipeline-step">
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<strong>Florence-2</strong><br>
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<small style="color:#888">视频描述生成</small>
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</div>
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<span class="pipeline-arrow">→</span>
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<div class="pipeline-step">
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<strong>Wan2.1 + Self-Forcing</strong><br>
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<small style="color:#888">4D 世界状态生成</small>
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</div>
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<span class="pipeline-arrow">→</span>
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<div class="pipeline-step">
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<strong>4D 漫游</strong><br>
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<small style="color:#888">多视角 + 时间轴</small>
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</div>
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</div>
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<p style="margin-top: 1rem;">
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<span class="tag">1.3B 参数</span>
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<span class="tag">Self-Forcing (NeurIPS 2025 Spotlight)</span>
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<span class="tag">Wan2.1 (阿里视频扩散)</span>
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<span class="tag">Depth-Anything-3</span>
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<span class="tag">Florence-2</span>
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<span class="tag">Apache-2.0</span>
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</p>
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<p style="margin-top: 0.75rem; color: #4ade80; font-size: 0.9rem;">
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底层技术栈均为已发表、可验证的成熟方案。架构组合本身是合理的。
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</p>
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</div>
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<!-- 宣传 vs 实际 — 逐项核查 -->
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<div class="card">
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<h2>宣传声明 vs 实际验证</h2>
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<div class="claim-row">
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<div>
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<div class="claim-label">"首个视频条件 4D 世界模型"</div>
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</div>
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<div class="claim-reality">
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窄化定义下的"首个"。NeoVerse (CVPR 2026)、D4RT (DeepMind)、DeepVerse、Kinema4D 等都在做类似方向。"首个"取决于如何定义类别边界。
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</div>
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<div><span class="tag-warn">窄化定义</span></div>
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</div>
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<div class="claim-row">
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<div>
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<div class="claim-label">"单卡 24 FPS 实时漫游"</div>
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</div>
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<div class="claim-reality">
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24 FPS 需要数据中心级 GPU（A100/H100）。消费级 RTX 4090 实测 7-10 FPS。官方 README 注明代码"尚未做速度优化"。
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</div>
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<div><span class="tag-red">误导</span></div>
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</div>
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<div class="claim-row">
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<div>
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<div class="claim-label">"消除物体消失幻觉"</div>
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</div>
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<div class="claim-reality">
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理论构想。团队自己的 WorldFM 论文承认：动态场景处理不好、存在"明显帧间抖动"、在线推理时出现运动边界伪影。
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</div>
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<div><span class="tag-red">自相矛盾</span></div>
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</div>
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<div class="claim-row">
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<div>
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<div class="claim-label">"WorldScore-Dynamic 排行榜第一"</div>
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</div>
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<div class="claim-reality">
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限定条件："实时推理速度的模型中"排第一。这是子集排名，非总榜第一。且无法从独立来源验证该排名。
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</div>
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<div><span class="tag-warn">选择性披露</span></div>
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</div>
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<div class="claim-row">
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<div>
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<div class="claim-label">"不超过 100 块 GPU 训练"</div>
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</div>
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<div class="claim-reality">
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1.3B 参数量 + 基于 Wan2.1 微调，100 GPU 规模合理。但未独立验证。
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</div>
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<div><span class="tag">合理可信</span></div>
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</div>
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</div>
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<!-- 可信度评分 -->
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<div class="card">
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<h2>可信度评分</h2>
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<table>
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<tr>
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<th style="width:40%">维度</th>
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<th style="width:40%">评分</th>
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<th style="width:20%">分数</th>
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</tr>
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<tr>
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<td>团队学术背景</td>
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<td>
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<div class="meter-bar"><div class="meter-fill" style="width:90%; background: #4ade80;"></div></div>
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</td>
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<td><span class="highlight-green">9/10</span></td>
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</tr>
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<tr>
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<td>技术方案合理性</td>
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<td>
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<div class="meter-bar"><div class="meter-fill" style="width:75%; background: #60a5fa;"></div></div>
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</td>
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<td><span style="color:#60a5fa; font-weight:600;">7.5/10</span></td>
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</tr>
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<tr>
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<td>宣传与实际匹配度</td>
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<td>
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<div class="meter-bar"><div class="meter-fill" style="width:35%; background: #f87171;"></div></div>
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</td>
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<td><span class="highlight-red">3.5/10</span></td>
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</tr>
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<tr>
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<td>论文/同行评审</td>
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<td>
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<div class="meter-bar"><div class="meter-fill" style="width:20%; background: #f87171;"></div></div>
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</td>
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<td><span class="highlight-red">2/10</span></td>
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</tr>
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<tr>
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<td>独立第三方验证</td>
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<td>
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<div class="meter-bar"><div class="meter-fill" style="width:5%; background: #f87171;"></div></div>
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</td>
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<td><span class="highlight-red">0.5/10</span></td>
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</tr>
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<tr>
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<td>代码开源程度</td>
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<td>
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<div class="meter-bar"><div class="meter-fill" style="width:80%; background: #4ade80;"></div></div>
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</td>
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<td><span class="highlight-green">8/10</span></td>
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</tr>
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</table>
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</div>
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<div class="grid">
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<!-- 最关键的问题 -->
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<div class="card">
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<h2>最关键的缺陷</h2>
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<ul>
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<li><span class="highlight-red">InSpatio-World（4D 模型）没有技术论文</span> — arxiv 上的 2603.11911 是 WorldFM（3D 帧模型），是另一个系统</li>
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<li><span class="highlight-red">无标准量化指标</span> — LPIPS / PSNR / FID 均未报告</li>
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<li><span class="highlight-red">无对比实验表</span> — 没有和 NeoVerse / D4RT 等竞品的 head-to-head 对比</li>
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<li><span class="highlight-red">零社区讨论</span> — Reddit / HN / Twitter 上找不到独立技术讨论</li>
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<li><span class="highlight-red">自承矛盾</span> — WorldFM 论文承认动态场景差、帧抖动，但 World 项目页宣称"消除幻觉"</li>
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</ul>
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</div>
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<!-- 真实优势 -->
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<div class="card">
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<h2>真实的优势</h2>
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<ul>
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<li><span class="highlight-green">团队扎实</span> — 章国锋是 3D 视觉领域顶级学者，非"PPT 创业"</li>
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<li><span class="highlight-green">完整开源</span> — Apache-2.0 协议，代码可检查复现</li>
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<li><span class="highlight-green">底层可靠</span> — Self-Forcing (NeurIPS 2025)、Wan2.1、Depth-Anything-3 均为成熟方案</li>
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<li><span class="highlight-green">架构创新</span> — "视频作为持久世界状态锚点"的思路是真实的技术贡献</li>
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<li><span class="highlight-green">训练成本</span> — ≤100 GPU 微调已有模型，路径合理</li>
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</ul>
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</div>
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</div>
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<!-- 竞品对比 -->
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<div class="card">
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<h2>同期竞品对比</h2>
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<table>
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<tr>
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<th>项目</th>
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<th>来源</th>
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<th>方法</th>
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<th>论文</th>
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<th>速度</th>
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</tr>
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<tr>
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<td><span class="highlight">InSpatio-World</span></td>
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||
<td>InSpatio 创业公司</td>
|
||
<td>视频条件 + 扩散世界模型</td>
|
||
<td><span class="highlight-red">无</span></td>
|
||
<td>10 FPS (4090) / 24 FPS (A100)</td>
|
||
</tr>
|
||
<tr>
|
||
<td>NeoVerse</td>
|
||
<td>CreateAI · CVPR 2026</td>
|
||
<td>前馈 4D Gaussian Splatting</td>
|
||
<td>CVPR 2026</td>
|
||
<td><30s 推理</td>
|
||
</tr>
|
||
<tr>
|
||
<td>D4RT</td>
|
||
<td>Google DeepMind</td>
|
||
<td>4D 重建 + 跟踪</td>
|
||
<td>有</td>
|
||
<td>1 分钟视频 ~5s (TPU)</td>
|
||
</tr>
|
||
<tr>
|
||
<td>DeepVerse</td>
|
||
<td>arxiv 2506.01103</td>
|
||
<td>4D 自回归视频世界模型</td>
|
||
<td>arxiv</td>
|
||
<td>—</td>
|
||
</tr>
|
||
<tr>
|
||
<td>Kinema4D</td>
|
||
<td>arxiv 2603.16669</td>
|
||
<td>运动学 4D 世界建模</td>
|
||
<td>arxiv</td>
|
||
<td>—</td>
|
||
</tr>
|
||
</table>
|
||
<p style="margin-top: 0.75rem; font-size: 0.85rem; color: #888;">
|
||
InSpatio-World 的独特之处在于"视频→持久世界状态"的概念，但缺乏论文和对比数据，难以客观判断其相对优劣。
|
||
</p>
|
||
</div>
|
||
|
||
<!-- WorldFM 论文自承局限 -->
|
||
<div class="card">
|
||
<h2>WorldFM 论文自述局限（2603.11911）</h2>
|
||
<p style="margin-bottom: 0.75rem; color: #888;">以下来自团队自己的 WorldFM 论文，InSpatio-World 基于同一架构：</p>
|
||
<ul>
|
||
<li><span class="highlight-yellow">动态场景处理差</span> — 训练数据"以静态场景为主"，对运动物体的泛化能力不足</li>
|
||
<li><span class="highlight-yellow">帧间抖动</span> — 在线推理时帧与帧之间存在"明显抖动"，缺乏时间一致性约束</li>
|
||
<li><span class="highlight-yellow">运动边界伪影</span> — 视角变化较大时出现边界伪影</li>
|
||
<li><span class="highlight-yellow">无标准指标</span> — 论文中未报告 LPIPS / PSNR / FID / SSIM 等常用量化指标</li>
|
||
</ul>
|
||
</div>
|
||
|
||
<!-- 底部结语 -->
|
||
<div class="card" style="border-color: #333;">
|
||
<h2>一句话总结</h2>
|
||
<p style="font-size: 1.1rem; color: #ccc; line-height: 2;">
|
||
<span class="highlight-green">不是骗局</span>，但<span class="highlight-yellow">噱头成分很重</span>。
|
||
<br>
|
||
真实水平：有实力的创业团队发布早期开源原型。
|
||
<br>
|
||
宣传水平：按"已验证突破"级别在写文案。
|
||
<br>
|
||
建议：可以<span class="highlight">关注</span>这个方向，但别把项目主页的数字当论文结论看。
|
||
<br>
|
||
等到 <span class="highlight">技术论文发表 + 独立复现</span> 之后再下判断不迟。
|
||
</p>
|
||
</div>
|
||
|
||
<p style="text-align: center; color: #444; margin-top: 2rem; font-size: 0.85rem;">
|
||
InSpatio-World 深度核查报告 · 2026-03-22 · 端口 4150
|
||
</p>
|
||
</div>
|
||
</body>
|
||
</html>
|