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IDENIFE Research · Technical reports

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3D representations

Image-to-3D Without the Clay-Like Look: Geometry, Materials, and Asset Validation

Why can an image-to-3D model resemble its reference yet still look like a lump of clay? This report separates insufficient observations, loss of geometric detail, entangled materials and lighting, and export degradation. Drawing on public methods including TRELLIS.2, Hunyuan3D 2.1, and Wonder3D, it derives relationships between pixel, voxel, and texture budgets and presents a diagnostic, repair, and comparative validation workflow for industrial products.

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3D representations

Image-to-3D Without the Clay-Like Look: Geometry, Materials, and Asset Validation

Why can an image-to-3D model resemble its reference yet still look like a lump of clay? This report separates insufficient observations, loss of geometric detail, entangled materials and lighting, and export degradation. Drawing on public methods including TRELLIS.2, Hunyuan3D 2.1, and Wonder3D, it derives relationships between pixel, voxel, and texture budgets and presents a diagnostic, repair, and comparative validation workflow for industrial products.

Technical research report

Models & data

Ego Devices and Embodied AI Datasets: Temporal Alignment, Error Budgets, and Window Length

How can first-person video, IMU measurements, hand tracking, and robot state become usable embodied AI training data? This report examines clock mapping, exposure models, coordinate transforms, and asynchronous resampling. It derives the relationship between hardware parameters and alignment error, proposes complete episodes with event segments and multiple training views, and explains the temporal contracts of LeRobotDataset v3.0 and GR00T through a worked calculation.

Technical research report

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