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Found 5 papers, 4 papers with code
Consistent Mesh Diffusion
Given a 3D mesh with a UV parameterization, we introduce a novel approach to generating textures from text prompts.
Structural Dropout for Model Width Compression
At inference time, a non-expert can select a memory versus accuracy trade-off that best suits their needs, across a wide range of highly compressed versus more accurate models.
Continuous Dynamic-NeRF: Spline-NeRF
We propose a new architecture for function reconstruction based on classical Bezier splines, which ensures $C^0$ and $C^1$-continuity, where $C^0$ continuity is that $\forall c:\lim\limits_{x\to c} f(x) = f(c)$, or more intuitively that there are no breaks at any point in the function.
Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis
Recent neural rendering methods have demonstrated accurate view interpolation by predicting volumetric density and color with a neural network.
Neural Scene Graphs for Dynamic Scenes
Recent implicit neural rendering methods have demonstrated that it is possible to learn accurate view synthesis for complex scenes by predicting their volumetric density and color supervised solely by a set of RGB images.
