Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Wonder3d: Single image to 3d using cross-domain diffusion
In this work we introduce Wonder3D a novel method for generating high-fidelity textured
meshes from single-view images with remarkable efficiency. Recent methods based on the …
meshes from single-view images with remarkable efficiency. Recent methods based on the …
pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction
We introduce pixelSplat a feed-forward model that learns to reconstruct 3D radiance fields
parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time …
parameterized by 3D Gaussian primitives from pairs of images. Our model features real-time …
Splatter image: Ultra-fast single-view 3d reconstruction
Abstract We introduce the Splatter Image an ultra-efficient approach for monocular 3D object
reconstruction. Splatter Image is based on Gaussian Splatting which allows fast and high …
reconstruction. Splatter Image is based on Gaussian Splatting which allows fast and high …
Reconfusion: 3d reconstruction with diffusion priors
Abstract 3D reconstruction methods such as Neural Radiance Fields (NeRFs) excel at
rendering photorealistic novel views of complex scenes. However recovering a high-quality …
rendering photorealistic novel views of complex scenes. However recovering a high-quality …
Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation
We introduce GRM, a large-scale reconstructor capable of recovering a 3D asset from
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …
sparse-view images in around 0.1 s. GRM is a feed-forward transformer-based model that …
Syncdreamer: Generating multiview-consistent images from a single-view image
In this paper, we present a novel diffusion model called that generates multiview-consistent
images from a single-view image. Using pretrained large-scale 2D diffusion models, recent …
images from a single-view image. Using pretrained large-scale 2D diffusion models, recent …
Richdreamer: A generalizable normal-depth diffusion model for detail richness in text-to-3d
Lifting 2D diffusion for 3D generation is a challenging problem due to the lack of geometric
prior and the complex entanglement of materials and lighting in natural images. Existing …
prior and the complex entanglement of materials and lighting in natural images. Existing …
Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model
We propose\textbf {DMV3D}, a novel 3D generation approach that uses a transformer-based
3D large reconstruction model to denoise multi-view diffusion. Our reconstruction model …
3D large reconstruction model to denoise multi-view diffusion. Our reconstruction model …
Cat3d: Create anything in 3d with multi-view diffusion models
Advances in 3D reconstruction have enabled high-quality 3D capture, but require a user to
collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a …
collect hundreds to thousands of images to create a 3D scene. We present CAT3D, a …
Viewdiff: 3d-consistent image generation with text-to-image models
Abstract 3D asset generation is getting massive amounts of attention inspired by the recent
success on text-guided 2D content creation. Existing text-to-3D methods use pretrained text …
success on text-guided 2D content creation. Existing text-to-3D methods use pretrained text …