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Found 6 papers, 2 papers with code
Floating No More: Object-Ground Reconstruction from a Single Image
Recent advancements in 3D object reconstruction from single images have primarily focused on improving the accuracy of object shapes.
Dr. Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering
Dr. Bokeh then takes the layered representation and user-defined lens parameters to render photo-realistic lens blur based on the novel occlusion-aware bokeh rendering method.
DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
To compensate for the lack of geometry in 2D Image compositing, recent deep learning-based approaches introduced a pixel height representation to generate soft shadows and reflections.
Controllable Shadow Generation Using Pixel Height Maps
It can be used to calculate hard shadows in a 2D image based on the projective geometry, providing precise control of the shadows' direction and shape.
SSN: Soft Shadow Network for Image Compositing
We demonstrate that our model produces realistic soft shadows in real-time.
