CUT-AND-PASTE NEURAL RENDERING

deep image prior as a neural renderer

• for cut and paste: albedo should be like origin, shading should be like a shading field, image should be like an image
• trained on paradigms and works on real image data: pretrained and fixed
• image harmonizaiton as baseline
• normal from previous methods -> shading consistency test