Portrait harmonization aims to composite a subject into a new background adjusting its
lighting and color to ensure harmony with the background scene. Existing harmonization …

We present a new approach to creating photorealistic and relightable head avatars from a
phone scan with unknown illumination. The reconstructed avatars can be animated and relit …

We introduce a high-fidelity portrait shadow removal model that can effectively enhance the
image of a portrait by predicting its appearance under disturbing shadows and highlights …

We present a novel framework for free-viewpoint facial performance relighting using
diffusion-based image-to-image translation. Leveraging a subject-specific dataset …

We propose RelitLRM, a Large Reconstruction Model (LRM) for generating high-quality
Gaussian splatting representations of 3D objects under novel illuminations from sparse (4-8) …

We present a lighting-aware image editing pipeline that, given a portrait image and a text
prompt, performs single image relighting. Our model modifies the lighting and color of both …

Lighting plays a pivotal role in ensuring the naturalness of video generation, significantly
influencing the aesthetic quality of the generated content. However, due to the deep …

Creating relightable and animatable avatars from multi-view or monocular videos is a
challenging task for digital human creation and virtual reality applications. Previous methods …

Capturing high-fidelity normals from single face images plays a core role in numerous
computer vision and graphics applications. Though significant progress has been made in …