WildRelight supplies the first in-the-wild benchmark for single-image relighting and a physics-guided self-supervised adaptation technique that turns temporal lighting changes into a domain-alignment signal.
In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques
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Single-shot HDR is achieved by conditioning a video diffusion model on an LDR input to generate an exposure bracket and fusing the bracket with per-pixel weights from a lightweight UNet.
DiffHDR converts LDR videos to HDR by formulating the task as generative radiance inpainting in a video diffusion model's latent space, using Log-Gamma encoding and synthesized training data to achieve better fidelity and stability than prior methods.
citing papers explorer
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WildRelight: A Real-World Benchmark and Physics-Guided Adaptation for Single-Image Relighting
WildRelight supplies the first in-the-wild benchmark for single-image relighting and a physics-guided self-supervised adaptation technique that turns temporal lighting changes into a domain-alignment signal.
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Single-Shot HDR Recovery via a Video Diffusion Prior
Single-shot HDR is achieved by conditioning a video diffusion model on an LDR input to generate an exposure bracket and fusing the bracket with per-pixel weights from a lightweight UNet.
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DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models
DiffHDR converts LDR videos to HDR by formulating the task as generative radiance inpainting in a video diffusion model's latent space, using Log-Gamma encoding and synthesized training data to achieve better fidelity and stability than prior methods.