Andrei-Timotei Ardelean

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.