3D Vision

ID-to-3D: Generate expressive, identity-consistent 3D human heads from just a few in-the-wild images using score distillation sampling and 2D diffusion models.

HumanSplat: single image-based 3D human reconstruction using Gaussian Splatting with structural priors, achieving state-of-the-art quality and speed.

Human-3Diffusion generates realistic 3D avatars from single RGB images using coupled 2D multi-view and 3D consistent diffusion models, achieving high-fidelity geometry and texture.

Inline Prior Guided Score Matching (IPSM) improves sparse-view 3D reconstruction by leveraging visual inline priors from pose relationships to rectify rendered image distribution and effectively guide…

HOPE: a novel shape matching method achieving both accuracy and smoothness by aligning different k-hop neighborhoods and refining maps via local map distortion.

HiCoM, a novel framework, achieves high-fidelity streamable dynamic scene reconstruction by using a hierarchical coherent motion mechanism and parallel processing to significantly reduce training time…

HDR-GS: 1000x faster HDR novel view synthesis via Gaussian splatting!

DiMoP3D: Predicting diverse, physically realistic human motions in 3D scenes by harmonizing stochasticity and determinism.

Hamba: a novel graph-guided framework for single-view 3D hand reconstruction, significantly outperforms existing methods by efficiently modeling spatial relationships between joints using a fraction o…

Hallo3D: a tuning-free method resolving 3D generation hallucinations via multi-modal inconsistency detection and mitigation for consistent 3D content.

GVKF: A novel method achieves highly efficient and accurate 3D surface reconstruction in open scenes by integrating fast 3D Gaussian splatting with continuous scene representation using kernel regres…

GSGAN introduces a hierarchical 3D Gaussian representation for faster, high-quality 3D model generation in GANs, achieving 100x speed improvement over existing methods.

GSDF: A novel dual-branch neural scene representation elegantly resolves the rendering-reconstruction trade-off by synergistically combining 3D Gaussian Splatting and Signed Distance Fields via mutual…

GS-Hider: A novel framework secures 3D Gaussian Splatting by embedding messages in a coupled, secured feature attribute, enabling invisible data hiding and accurate extraction.

Grid4D: A novel 4D decomposed hash encoding boosts high-fidelity dynamic Gaussian splatting, surpassing state-of-the-art models in visual quality and rendering speed.

GL-NeRF accelerates NeRF rendering by using Gauss-Laguerre quadrature, drastically reducing MLP calls without needing additional networks or data structures.

GIC: Novel hybrid framework leverages 3D Gaussian representation for accurate physical property estimation from visual observations, achieving state-of-the-art performance.

GeoNLF: Geometry-guided Pose-free Neural LiDAR Fields revolutionizes LiDAR point cloud processing by cleverly combining neural and geometric optimization for superior novel view synthesis and multi-vi…

Geometry Cloak embeds invisible perturbations in images to thwart AI-based 3D reconstruction, forcing the AI to generate identifiable patterns that act as watermarks to assert copyright.

GeoLRM: Generate stunning 3D models from just 21 images using a novel geometry-aware transformer, surpassing existing methods in efficiency and quality!