Exploratory Technical Note: EM-style Optimization for Differentiable Renderers

This technical note outlines a conceptual EM-style alternating optimization framework for task-driven differentiable renderer tuning. It proposes a theoretically plausible algorithm and discusses open issues such as training stability and long-range gradient propagation, without formal proof or experimental validation. The document serves as an archival record of a partially developed idea from an unfinished PhD-era project.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-13
DOI
https://doi.org/10.5281/zenodo.17600880
Primary Topic
Stochastic Gradient Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploratory Technical Note: EM-style Optimization for Differentiable Renderers

Zenodo (CERN European Organization for Nuclear Research)
Stochastic Gradient Optimization Techniques
article

Exploratory Technical Note: EM-style Optimization for Differentiable Renderers

article en

Abstract

This technical note outlines a conceptual EM-style alternating optimization framework for task-driven differentiable renderer tuning. It proposes a theoretically plausible algorithm and discusses open issues such as training stability and long-range gradient propagation, without formal proof or experimental validation. The document serves as an archival record of a partially developed idea from an unfinished PhD-era project.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 22%
Stochastic Gradient Optimization Techniques
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Exploratory Technical Note: EM-style Optimization for Differentiable Renderers · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS