Author

Michael Fischer

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Jul 2026

Feature-Guided Diffusion for Non-Differentiable Inverse Rendering

This work proposes Feature-Informed Diffusion Evolution (FIDE), a fully black-box framework that requires no gradients or specific initialization: the renderer is treated as an opaque function whose only requirement is to produce images.

Andrei-Timotei Ardelean, Michael Fischer, Tim Weyrich et al. · arXiv.org · 0 citations