3D Vision

Material Anything: Generate realistic materials for ANY 3D object via diffusion!

ViewExtrapolator leverages Stable Video Diffusion to realistically extrapolate novel views far beyond training data, dramatically improving the quality of 3D scene generation.

Generative World Explorer (Genex) enables agents to imaginatively explore environments, updating beliefs with generated observations for better decision-making.

WaLa: a billion-parameter 3D generative model using wavelet encodings achieves state-of-the-art results, generating high-quality 3D shapes in seconds.

GaussianAnything: Interactive point cloud latent diffusion enables high-quality, editable 3D models from images or text, overcoming existing 3D generation limitations.

SAMPart3D: Zero-shot 3D part segmentation across granularities, scaling to large datasets & handling part ambiguity.

KMM: Key Frame Mask Mamba generates extended, diverse human motion from text prompts by innovatively masking key frames in the Mamba architecture and using contrastive learning for improved text-motio…

DimensionX generates photorealistic 3D and 4D scenes from a single image via controllable video diffusion, enabling precise manipulation of spatial structure and temporal dynamics.

GarVerseLOD introduces a novel dataset and framework for high-fidelity 3D garment reconstruction from a single image, achieving unprecedented robustness via a hierarchical approach and leveraging a ma…

GenXD: A unified model generating high-quality 3D & 4D scenes from any number of images, advancing the field of dynamic scene generation.

DreamPolish: A new text-to-3D model generates highly detailed 3D objects with polished surfaces and realistic textures using progressive geometry refinement and a novel domain score distillation tech…

DELTA: A new method efficiently tracks every pixel in 3D space from monocular videos, enabling accurate motion estimation across entire videos with state-of-the-art accuracy and over 8x speed improvem…