Reproduce “PhysTacGen: Physics-Aware Visual-Tactile Sensor Image Generation” on OpenResearch

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About this paper

Guo Tang, Yongtao Wang

PhysTacGen generates optical tactile sensor images from RGB images by combining material-property descriptions with relative-depth cues. On a curated SSVTP test split, its GTPO prompting achieves SSIM 0.964, compared with 0.948 for supervised fine-tuning, while LPIPS is 0.559 versus 0.570. These results measure image similarity, not physical correctness, force prediction, or robot-ready performance.

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