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Instruct-nerf2nerf: Editing 3d scenes with instructions
We propose a method for editing NeRF scenes with text-instructions. Given a NeRF of a
scene and the collection of images used to reconstruct it, our method uses an image …
scene and the collection of images used to reconstruct it, our method uses an image …
Gaussianshader: 3d gaussian splatting with shading functions for reflective surfaces
The advent of neural 3D Gaussians has recently brought about a revolution in the field of
neural rendering facilitating the generation of high-quality renderings at real-time speeds …
neural rendering facilitating the generation of high-quality renderings at real-time speeds …
Tensoir: Tensorial inverse rendering
We propose TensoIR, a novel inverse rendering approach based on tensor factorization and
neural fields. Unlike previous works that use purely MLP-based neural fields, thus suffering …
neural fields. Unlike previous works that use purely MLP-based neural fields, thus suffering …
Decomposing nerf for editing via feature field distillation
Emerging neural radiance fields (NeRF) are a promising scene representation for computer
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …
graphics, enabling high-quality 3D reconstruction and novel view synthesis from image …
Nerfplayer: A streamable dynamic scene representation with decomposed neural radiance fields
Visually exploring in a real-world 4D spatiotemporal space freely in VR has been a long-
term quest. The task is especially appealing when only a few or even single RGB cameras …
term quest. The task is especially appealing when only a few or even single RGB cameras …
Gs-ir: 3d gaussian splatting for inverse rendering
We propose GS-IR a novel inverse rendering approach based on 3D Gaussian Splatting
(GS) that leverages forward map** volume rendering to achieve photorealistic novel view …
(GS) that leverages forward map** volume rendering to achieve photorealistic novel view …
Ref-nerf: Structured view-dependent appearance for neural radiance fields
Neural Radiance Fields (NeRF) is a popular view synthesis technique that represents a
scene as a continuous volumetric function, parameterized by multilayer perceptrons that …
scene as a continuous volumetric function, parameterized by multilayer perceptrons that …
Neural fields in visual computing and beyond
Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …
computing problems using methods that employ coordinate‐based neural networks. These …
Extracting triangular 3d models, materials, and lighting from images
We present an efficient method for joint optimization of topology, materials and lighting from
multi-view image observations. Unlike recent multi-view reconstruction approaches, which …
multi-view image observations. Unlike recent multi-view reconstruction approaches, which …
Sine: Semantic-driven image-based nerf editing with prior-guided editing field
Despite the great success in 2D editing using user-friendly tools, such as Photoshop,
semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either …
semantic strokes, or even text prompts, similar capabilities in 3D areas are still limited, either …