3D Vision

Hi3DGen: High-fidelity 3D geometry generation from images via normal bridging.

X2-Gaussian enables continuous-time 4D CT reconstruction via dynamic radiative Gaussian splatting and self-supervised respiratory motion learning.

SparseFlex: Achieves high-res, arbitrary-topology 3D shape modeling via sparse isosurface representation and sectional voxel training. Revolutionizing 3D generative AI!

HSMR: Reconstructing 3D humans with a biomechanically accurate skeleton model from a single image, enhancing pose realism.

Free4D: Tuning-free 4D scene generation with spatial-temporal consistency.

Feature4X: 4D Agentic AI from Monocular Video w/ Gaussian Feature Fields

DINeMo: Learns 3D models with no 3D annotations, leveraging pseudo-correspondence from visual foundation models for enhanced pose estimation.

FRESA: fast feedforward 3D personalized avatar creation from few images.

AETHER: a unified framework enabling geometry-aware reasoning in world models, achieving zero-shot generalization from synthetic to real-world data.

TaoAvatar: Lifelike talking avatars in AR, using 3D Gaussian Splatting for real-time rendering and high fidelity.

OMG: optimized minimal 3D Gaussian splatting, enabling fast and efficient rendering with minimal storage.

Motion blur, usually a problem, is now a solution! This paper estimates camera motion from motion-blurred images, acting like an IMU.

FFaceNeRF: Enables few-shot face editing in NeRFs via geometry adapter & latent mixing, enhancing control & quality with limited training data.

Zero-1-to-A: Animatable avatars from a single image using video diffusion, robust to spatial & temporal inconsistencies!

VideoRFSplat: Direct text-to-3D Gaussian Splatting with flexible pose and multi-view joint modeling, bypassing SDS refinement!

FlashVDM enables fast 3D shape generation by accelerating both VAE decoding and diffusion sampling.

Uni-3DAR: Autoregressive framework unifies 3D generation/understanding, compressing spatial tokens for faster, versatile AI.

Sonata: Reliable 3D point cloud self-supervised learning through self-distillation, achieving SOTA with less data.

NuiScene: Enables efficient & unbounded outdoor scene generation by encoding scene chunks as uniform vector sets and outpainting.

GFS-VL: Enhancing few-shot 3D segmentation by synergizing vision-language models with few-shot learning for robust real-world application.