WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting

arXiv:2605.11696 · cs.CV, cs.AI, cs.GR · Submitted 2026-05-12 · Read on arXiv

cs.CV, cs.AI, cs.GR

Submitted: 2026-05-12

Updated: 2026-09-06

Comments: Numerical typo fixes. Project Page: https://lez-s.github.io/wildrelight_proj/

Project page: https://lez-s.github.io/wildrelight_proj

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Alignment — 27× in this paper · explained in 1 episode
Adaptation — 23× in this paper · explained in 1 episode
Benchmark — 22× in this paper · explained in 2 episodes
Calibration — 11× in this paper · explained in 7 episodes
Fidelity — 9× in this paper · explained in 2 episodes
Consistency — 7× in this paper · explained in 3 episodes
Core — 6× in this paper · explained in 2 episodes
Diffusion Model — 6× in this paper · explained in 8 episodes
Domain Adaptation — 6× in this paper · explained in 5 episodes
Generative Model — 6× in this paper · explained in 2 episodes
Generative Models — 6× in this paper · explained in 2 episodes
Diffusion Models — 5× in this paper · explained in 6 episodes
Diffusion Posterior Sampling — 5× in this paper
High Dynamic Range — 4× in this paper
Proceedings of Computer Vision and Pattern Recognition — 4× in this paper
Sim-to-Real Gap — 4× in this paper · explained in 6 episodes
alpha — 4× in this paper · explained in 1 episode
Ablation — 3× in this paper · explained in 1 episode
Ablation study — 3× in this paper · explained in 1 episode
Accuracy — 3× in this paper · explained in 1 episode
Domain Shift — 3× in this paper · explained in 4 episodes
European Conference on Computer Vision — 3× in this paper
Sampling-Aware Test-Time Adaptation — 3× in this paper
Aperture — 2× in this paper · explained in 1 episode
Benchmarking — 2× in this paper · explained in 4 episodes
International Conference on Learning Representations — 2× in this paper
Proceedings of International Conference on Computer Vision — 2× in this paper
Regularization — 2× in this paper · explained in 3 episodes
Test-time Adaptation (TTA) — 2× in this paper · explained in 3 episodes
3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
AdamW Optimizer — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Camera Response Function — 1× in this paper
Data Augmentation — 1× in this paper · explained in 7 episodes
Gaussian Splatting — 1× in this paper · explained in 4 episodes
Inverse Problem — 1× in this paper · explained in 2 episodes
Latent Diffusion Model — 1× in this paper · explained in 2 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Latent Space — 1× in this paper · explained in 7 episodes
Learned Perceptual Image Patch Similarity — 1× in this paper
LoRA Adapters — 1× in this paper · explained in 3 episodes
Low-Rank Adaptation (LoRA) — 1× in this paper · explained in 9 episodes
Metallicity — 1× in this paper · explained in 3 episodes
Peak Signal to Noise Ratio — 1× in this paper
Physical Constraints — 1× in this paper · explained in 7 episodes
Robustness — 1× in this paper · explained in 5 episodes
Transformer — 1× in this paper · explained in 2 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control

Terminology

Sources

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