From the 1 of 6 linked papers with an AI index.
6 papers
LightCrafter: PBR-Conditioned Video Diffusion Refinement for Controllable and Consistent Relighting
Zixin Guo, Yehonathan Litman, Yifeng He +3
LightCrafter introduces a hybrid method that first renders a video with physically‑based rendering under the target lighting and then refines it with a diffusion model, enabling co…
Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Yehonathan Litman, Xiaoxuan Ma, Manan Shah +4
Reconstructing dynamic non-rigid objects from monocular video requires integrating visual cues from direct observations with data-driven priors over geometry and appearance. Prior…
REST3D: Reconstructing Physically Stable 3D Scenes from a Single Image
Xiaoxuan Ma, Jiashun Wang, Nicolas Ugrinovic +2
Reconstructing physically stable 3D scenes from a single RGB image enables casual images to be converted into simulation-ready digital assets for applications such as immersive int…
EditCtrl: Disentangled Local and Global Control for Real-Time Generative Video Editing
Yehonathan Litman, Shikun Liu, Dario Seyb +5
High-fidelity generative video editing has seen significant quality improvements by leveraging pre-trained video foundation models. However, their computational cost is a major bot…
LightSwitch: Multi-view Relighting with Material-guided Diffusion
Yehonathan Litman, Fernando De la Torre, Shubham Tulsiani
Recent approaches for 3D relighting have shown promise in integrating 2D image relighting generative priors to alter the appearance of a 3D representation while preserving the unde…
MaterialFusion: Enhancing Inverse Rendering with Material Diffusion Priors
Yehonathan Litman, Or Patashnik, Kangle Deng +4
Recent works in inverse rendering have shown promise in using multi-view images of an object to recover shape, albedo, and materials. However, the recovered components often fail t…