The work creates the first dataset and baseline for generating emission textures on 3D objects to reproduce glowing materials from input images.
Materialmvp: Illumination- invariant material generation via multi-view pbr diffusion
3 Pith papers cite this work. Polarity classification is still indexing.
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A property-informed diffusion network generates 3D microstructures from text prompts via contrastive text-structure alignment and test-time reward-guided alignment.
VISER is a new visually realistic simulation benchmark for robot manipulation tasks that uses PBR materials and MLLM-assisted asset generation, achieving 0.92 Pearson correlation with real-world policy performance.
citing papers explorer
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Towards Realistic 3D Emission Materials: Dataset, Baseline, and Evaluation for Emission Texture Generation
The work creates the first dataset and baseline for generating emission textures on 3D objects to reproduce glowing materials from input images.
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Property-Informed Diffusion-Based Text-to-Microstructure Generation
A property-informed diffusion network generates 3D microstructures from text prompts via contrastive text-structure alignment and test-time reward-guided alignment.
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Toward Visually Realistic Simulation: A Benchmark for Evaluating Robot Manipulation in Simulation
VISER is a new visually realistic simulation benchmark for robot manipulation tasks that uses PBR materials and MLLM-assisted asset generation, achieving 0.92 Pearson correlation with real-world policy performance.