TEMDiff trains a 3D diffusion model on simulated FIB-SEM to TEM tilt series to reconstruct limited-angle electron tomography volumes, outperforming prior methods and generalizing to real data from tilt ranges as narrow as 8 degrees.
Image super-resolution via iterative refinement,
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StructDiff adds adaptive receptive fields and 3D positional encoding to a single-scale diffusion model to preserve structure and enable spatial control in single-image generation.
NC-Diffusion matches quantization noise to the diffusion forward process, adds an adaptive frequency filter and zero-shot enhancement, and reports superior fidelity on benchmarks.
citing papers explorer
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Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusion
TEMDiff trains a 3D diffusion model on simulated FIB-SEM to TEM tilt series to reconstruct limited-angle electron tomography volumes, outperforming prior methods and generalizing to real data from tilt ranges as narrow as 8 degrees.
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StructDiff: A Structure-Preserving and Spatially Controllable Diffusion Model for Single-Image Generation
StructDiff adds adaptive receptive fields and 3D positional encoding to a single-scale diffusion model to preserve structure and enable spatial control in single-image generation.
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A Noise Constrained Diffusion (NC-Diffusion) Framework for High Fidelity Image Compression
NC-Diffusion matches quantization noise to the diffusion forward process, adds an adaptive frequency filter and zero-shot enhancement, and reports superior fidelity on benchmarks.