3D Vision

Hunyuan3D 2.0: A groundbreaking open-source system generating high-resolution, textured 3D assets using scalable diffusion models, exceeding state-of-the-art performance.

GaussianAvatar-Editor enables photorealistic, text-driven editing of animatable 3D heads, solving motion occlusion and ensuring temporal consistency.

CaPa: Carve-n-Paint Synthesis generates hyper-realistic 4K textured meshes in under 30 seconds, setting a new standard for efficient 3D asset creation.

CityDreamer4D generates realistic, unbounded 4D city models by cleverly separating dynamic objects (like vehicles) from static elements (buildings, roads), using multiple neural fields for enhanced re…

SPAR3D: Fast, accurate single-image 3D reconstruction via a novel two-stage approach using point clouds for high-fidelity mesh generation.

MoDec-GS: a novel framework achieving 70% model size reduction in dynamic 3D Gaussian splatting while improving visual quality by cleverly decomposing complex motions and optimizing temporal intervals…

DOLPHIN: AI automates scientific research from idea generation to experimental validation.

Chirpy3D: Generating creative, high-quality 3D birds with intricate details by learning a continuous part latent space from 2D images.

DepthMaster tames diffusion models for faster, more accurate monocular depth estimation by aligning generative features with high-quality semantic features and adaptively balancing low and high-freque…

PartGen generates compositional 3D objects with meaningful parts from text, images, or unstructured 3D data using multi-view diffusion models, enabling flexible 3D part editing.

Orient Anything: Learning robust object orientation estimation directly from rendered 3D models, achieving state-of-the-art accuracy on real images.

DepthLab: a novel image-conditioned depth inpainting model enhances downstream 3D tasks by effectively completing partial depth information, showing superior performance and generalization.

DI-PCG uses a lightweight diffusion transformer to efficiently and accurately estimate parameters of procedural generators from images, enabling high-fidelity 3D asset creation.

Prompting unlocks 4K metric depth from low-cost LiDAR.

Generate wide-scope 3D scenes from single images in a snap!

Create realistic 3D heads with specific hairstyles from text, no 3D hair data needed!

Leveraging video models, researchers achieve state-of-the-art 3D super-resolution by generating ‘video-like’ sequences from unordered images, eliminating artifacts and computational demands.

MOVIS enhances 3D scene generation by improving cross-view consistency in multi-object novel view synthesis.

IDArb: A diffusion model for decomposing images into intrinsic components like albedo, normal, and material properties, handling varying views and lighting.

Training-free method adds physical properties to 3D models using vision-language models.