# Setup-Independent Full Projector Compensation

arXiv: https://arxiv.org/abs/2604.01736 · HTML: https://mlsanity.com/paper/2604.01736/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 17 of its 72 references that are in the map.
- First posted on arXiv 2 Apr 2026.

## Builds on (most cited first, 17 of 17)

- [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://mlsanity.com/paper/2103.14030/) (2021)
- [The Unreasonable Effectiveness of Deep Features as a Perceptual Metric](https://mlsanity.com/paper/1801.03924/) (2018)
- [CBAM: Convolutional Block Attention Module](https://mlsanity.com/paper/1807.06521/) (2018)
- [RAFT: Recurrent All-Pairs Field Transforms for Optical Flow](https://mlsanity.com/paper/2003.12039/) (2020)
- [2D Gaussian Splatting for Geometrically Accurate Radiance Fields](https://mlsanity.com/paper/2403.17888/) (2024)
- [FlowFormer: A Transformer Architecture for Optical Flow](https://mlsanity.com/paper/2203.16194/) (2022)
- [End-to-end Full Projector Compensation](https://mlsanity.com/paper/2008.00965/) (2020)
- [End-to-end Projector Photometric Compensation](https://mlsanity.com/paper/1904.04335/) (2019)
- [Neural Projection Mapping Using Reflectance Fields](https://mlsanity.com/paper/2306.06595/) (2023)
- [CompenNet++: End-to-end Full Projector Compensation](https://mlsanity.com/paper/1908.06246/) (2019)
- [Casper DPM: Cascaded Perceptual Dynamic Projection Mapping onto Hands](https://mlsanity.com/paper/2409.04397/) (2024)
- [CompenHR: Efficient Full Compensation for High-resolution Projector](https://mlsanity.com/paper/2311.13409/) (2023)
- [Projection Mapping under Environmental Lighting by Replacing Room Lights with Heterogeneous Projectors](https://mlsanity.com/paper/2403.02547/) (2024)
- [GS-ProCams: Gaussian Splatting-based Projector-Camera Systems](https://mlsanity.com/paper/2412.11762/) (2024)
- [Animated Stickies: Fast Video Projection Mapping onto a Markerless Plane through a Direct Closed-Loop Alignment](https://mlsanity.com/paper/1909.00032/) (2019)
- [DPCS: Path Tracing-Based Differentiable Projector-Camera Systems](https://mlsanity.com/paper/2503.12174/) (2025)
- [IlluminatedFocus: Vision Augmentation using Spatial Defocusing via Focal Sweep Eyeglasses and High-Speed Projector](https://mlsanity.com/paper/2002.02167/) (2020)

## Abstract (arXiv)

Projector compensation seeks to correct geometric and photometric distortions that occur when images are projected onto nonplanar or textured surfaces. However, most existing methods are highly setup-dependent, requiring fine-tuning or retraining whenever the surface, lighting, or projector-camera pose changes. Progress has been limited by two key challenges: (1) the absence of large, diverse training datasets and (2) existing geometric correction models are typically constrained by specific spatial setups; without further retraining or fine-tuning, they often fail to generalize directly to novel geometric configurations. We introduce SIComp, the first Setup-Independent framework for full projector Compensation, capable of generalizing to unseen setups without fine-tuning or retraining. To enable this, we construct a large-scale real-world dataset spanning 277 distinct projector-camera setups. SIComp adopts a co-adaptive design that decouples geometry and photometry: A carefully tailored optical flow module performs online geometric correction, while a novel photometric network handles photometric compensation. To further enhance robustness under varying illumination, we integrate intensity-varying surface priors into the network design. Extensive experiments demonstrate that SIComp consistently produces high-quality compensation across diverse unseen setups, substantially outperforming existing methods in terms of generalization ability and establishing the first generalizable solution to projector compensation. The code and dataset are available on our project page: https://hai-bo-li.github.io/SIComp/