3D scene parameterization similar to Neural Radiance Fields
Additional regularizers and optimization strategies to improve geometry
High-quality normals, surface geometry and depth
Relightable NeRFs with a Lambertian shading model
Use Cases
DreamFusion can be used to optimize 3D scenes for video games, allowing for the optimization of samples in an arbitrary parameter space, such as a 3D space. The use of Score Distillation Sampling (SDS) and additional regularizers and optimization strategies can be used to improve geometry, resulting in coherent, high-quality normals, surface geometry and depth, and relightable NeRFs with a Lambertian shading model.
DreamFusion can be used to optimize 3D scenes for virtual reality experiences by using a 3D scene parameterization similar to Neural Radiance Fields to define this differentiable mapping. The use of Score Distillation Sampling (SDS) and additional regularizers and optimization strategies can be used to improve geometry, resulting in coherent, high-quality normals, surface geometry and depth, and relightable NeRFs with a Lambertian shading model.
DreamFusion can be used to optimize 3D scenes for film production by using a 3D scene parameterization similar to Neural Radiance Fields to define this differentiable mapping. The use of Score Distillation Sampling (SDS) and additional regularizers and optimization strategies can be used to improve geometry, resulting in coherent, high-quality normals, surface geometry and depth, and relightable NeRFs with a Lambertian shading model.