3D Object Generation

SewingLDM can generate complex sewing patterns using text prompts, body shapes, and garment sketches. It allows for detailed customization and significantly improves the design of garments to fit different body types.

DPoser-X can generate and complete 3D whole-body human poses using a diffusion-based model.

Reflect3D can detect 3D reflection symmetry from a single RGB image and improve 3D generation.

PhysX can generate 3D assets with detailed physical properties, which labels assets in five key areas: scale, material, affordance, kinematics, and function.

GeoSplatting can capture detailed 3D shapes and realistic materials and lighting.

Hunyuan3D 2.1 can generate high-quality 3D assets from images through shape generation and texture synthesis.

PartPacker can generate high-quality 3D objects with many meaningful parts from a single image.

MeshArt can generate 3D meshes with clean shapes.

ObjectCarver can segment, reconstruct, and separate 3D objects from a single view using just user-input clicks, eliminating the need for segmentation masks.

LegoGPT can generate stable and buildable LEGO designs from text prompts. It uses physics-aware techniques to ensure designs are safe for manual assembly and robotic construction, and it can create colored and textured models.

PrimitiveAnything can generate high-quality 3D shapes from 3D models, text and images by breaking down complex forms into simple geometric parts. It uses a shape-conditioned primitive transformer to ensure that the shapes remain accurate and diverse.

DiffLocks can generate detailed 3D hair geometry from a single image in 3 seconds.

HoloPart can break down 3D shapes into complete and meaningful parts, even if they are hidden. It also supports numerous downstream applications such as Geometry Editing, Geometry Processing, Material Editing and Animation.

AniSDF can reconstruct high-quality 3D shapes with improved surface geometry. It can handle complex, luminous, reflective as well as fuzzy objects.

Pixel3DMM can reconstruct 3D human faces from a single RGB image.

GARF can reassemble 3D objects from real-world fractured parts.

HORT can create detailed 3D point clouds of hand-held objects from just one photo.

LVSM can generate high-quality 3D views of objects and scenes from a few input images.

StdGEN can generate high-quality 3D characters from a single image in just three minutes. It breaks down characters into parts like body, clothes, and hair, using a transformer-based model for great results in 3D anime character generation.

So far it has been tough to imagine the benefits of AI agents. Most of what we’ve seen from that domain has been focused on NPC simulations or solving text-based goals. 3D-GPT is a new framework that utilizes LLMs for instruction-driven 3D modeling by breaking down 3D modeling tasks into manageable segments to procedurally generate 3D scenes. I recently started to dig into Blender and I pray this gets open sourced at one point.