Ink3D decouples geometry from texture by generating dense orbit videos with a conditional video model and baking them via a neural optimizer to produce complex 3D textures.
In: Proceedings of the Computer Vision and Pattern Recognition Conference
4 Pith papers cite this work. Polarity classification is still indexing.
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A progressive test-time optimization framework on 3D Gaussian Splatting enables high-fidelity 4D animal reconstruction from monocular video via symmetry-aware encoding and part-conditioned deformation.
Rein3D generates photorealistic, globally consistent 3D indoor scenes by using a restore-and-refine process where radial panoramic videos are restored via diffusion models and then used to update a 3D Gaussian field.
PAD synthesizes 3D geometry in observation space via depth unprojection as anchor to eliminate pose ambiguity in image-to-3D generation.
citing papers explorer
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Ink3D: Sculpting 3D Assets with Extremely Complex Textures via Video Generative Models
Ink3D decouples geometry from texture by generating dense orbit videos with a conditional video model and baking them via a neural optimizer to produce complex 3D textures.
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Progressive Pose-Guided 4D Animal Reconstruction from Monocular Video
A progressive test-time optimization framework on 3D Gaussian Splatting enables high-fidelity 4D animal reconstruction from monocular video via symmetry-aware encoding and part-conditioned deformation.
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Rein3D: Reinforced 3D Indoor Scene Generation with Panoramic Video Diffusion Models
Rein3D generates photorealistic, globally consistent 3D indoor scenes by using a restore-and-refine process where radial panoramic videos are restored via diffusion models and then used to update a 3D Gaussian field.
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Pose-Aware Diffusion for 3D Generation
PAD synthesizes 3D geometry in observation space via depth unprojection as anchor to eliminate pose ambiguity in image-to-3D generation.