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Plateau-Reduced Differentiable Path Tracing
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| convolve rendering over scene parameters and estimate gradients with the non-differentiable renderer | Our_no-grad vs Mitsuba · Cup, Shadows, Occlusion, Global Illumination, Sort, Caustic | parameter-space MSE: Cup: 5.49×10⁻³ -> 4.92×10⁻⁶; Shadows: 1.64×10⁻³ -> 1.74×10⁻⁵; Occlusion: 5.85×10⁻² -> 2.34×10⁻⁴; Global Illumination: 3. | Helped |
| remove importance sampling (ablation) | Our_no-grad · Mean (six tasks) | log-relative error ratio: 4.81×; 5.91× | Hurt |
| remove adaptive perturbations (ablation) | Our_no-grad · Mean (six tasks) | log-relative error ratio: 4.50×; 5.78× | Hurt |
| remove antithetic sampling (ablation) | Our_no-grad · Mean (six tasks) | log-relative error ratio: 4.78×; 7.06× | Hurt |
| use differentiable-renderer gradients instead of differentiating through perturbation | Our method · six optimization tasks | parameter-space MSE: Cup: 4.92×10⁻⁶ -> 2.77×10⁻¹; Shadows: 1.74×10⁻⁵ -> 1.28×10⁰; Occlusion: 2.34×10⁻⁴ -> 1.87×10¹; Global Illumination: 5.07 | Hurt |
Closest papers by meaning
- Inverse Rendering using Multi-Bounce Path Tracing and Reservoir Sampling (ICLR 2025 · similarity 0.87)
- Locally Orderless Images for Optimization in Differentiable Rendering (CVPR 2025 · similarity 0.86)
- Differentiable Point-based Inverse Rendering (CVPR 2024 · similarity 0.85)
- Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction (NeurIPS 2024 · similarity 0.85)
- Eclipse: Disambiguating Illumination and Materials using Unintended Shadows (CVPR 2024 · similarity 0.85)
- Gaussian Herding across Pens: An Optimal Transport Perspective on Global Gaussian Reduction for 3DGS (NeurIPS 2025 · similarity 0.85)
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