TRELLIS 2 ✓

Generate high-fidelity 3D assets from images instantly.

Source rating 5.0 (1) 13k views 15 saves Unknown

Verdict

A quick read before you dig into the full page.

Best if

Generate high-fidelity 3D assets from images instantly

Skip if

Complex to implement

Pick this when

High fidelity assets

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Overview

The method can handle complex structures, including open surfaces, non-manifold geometry, and enclosed interior structures, thus overcoming the limitations of iso-surface fields.

TRELLIS.2 also has the ability to model arbitrary surface attributes such as Base Color, Roughness, Metallic, and Opacity, thereby facilitating Physically Based Rendering (PBR) and photorealistic relighting.

This tool optimizes the pre- and post-processing of data for training and inference, allowing for quick conversions that are free from rendering and optimization.

It utilizes 'O-Voxel', a novel 'field-free' sparse voxel structure designed to encode detailed geometry and complex appearance simultaneously. A Sparse Compression VAE component is deployed to compress voxel data efficiently, encapsulating fully textured 3D assets into a compact representation with minimal perceptual degradation.

This enables efficient large-scale generative modeling. Its worth noting that TRELLIS.2 is purely a research project with Responsible AI considerations factored into all stages of its development.

Capabilities

What this tool accepts, produces, and is strongest at.

Input

Image

Output

Supported features

3D Generation

Pros & cons

Pros

Open-source
High fidelity assets
Handles complex structures
Models surface attributes
Supports PBR
Photorealistic relighting
Efficient pre-post processing
O-Voxel encoding

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Sparse Compression VAE
Minimal perceptual degradation
Large-scale generative modeling
Encodes geometry and appearance
Handles arbitrary topologies
Supports full PBR attributes
Efficient Compression
Instant image-to-3D conversion
Flexible Dual Grids representation
Compact structured latents
Overcomes iso-surface field limitations
1536 PBR textured assets
Supports Non-manifold geometry
Handles enclosed interior structures
Quick data conversions
Free from rendering optimization
Handles open surfaces
4B-parameter model
Encapsulates fully textured 3D assets
Voxel data compression
Outperforms vanilla DiTs
Handles Base Color, Roughness, Metallic, Opacity
Research-focused tool
Public datasets use
Minimalistic 3D asset processing

Cons

Purely a research project
Requires high-end GPU
Limited application scope
Complex to implement
Potential data biases
No commercial use intended
Not user-friendly
Requires extensive technical knowledge

Show 2 more

Dependent on NVIDIA H100
Absolute reliance on O-Voxel

FAQ 12

What is TRELLIS.2?

TRELLIS.2 is an open-source image-to-3D model generator, designed to produce high fidelity textured assets using native 3D VAEs. Its core feature makes use of native and compact structured latents for providing both high fidelity and compression capabilities. This tool can handle complex structures, including open surfaces, non-manifold geometry, and enclosed interior structures, thus overcoming the limitations of iso-surface fields. It's a research project with Responsible AI considerations factored into all stages of its development.

How does TRELLIS.2 generate 3D models from images?

TRELLIS.2 generates 3D models from images through a process that begins with an Instant Bidirectional Conversion that transforms meshes into a new representation termed O-Voxel. The Sparse Compression VAE then encodes these voxels into a compact Structured Latent space. The result is a highly compact representation of a fully textured 3D asset with negligible perceptual degradation.

What are the key features of TRELLIS.2?

Key features of TRELLIS.2 include the ability to handle complex structures, model arbitrary surface attributes such as base colour, roughness, metallic, and opacity, and optimize pre and post-processing of data for training and inference. Additional features include the utilization of 'O-Voxel', a novel 'field-free' sparse voxel structure to encode detailed geometry and complex appearance simultaneously, and a Sparse Compression VAE component for efficient voxel data compression.

What kind of structures can TRELLIS.2 handle?

TRELLIS.2 can handle complex structures including open surfaces, non-manifold geometry, and enclosed interior structures.

How does TRELLIS.2 handle non-manifold geometry?

TRELLIS.2 handles non-manifold geometry by using a flexible dual grids representation within the O-Voxel structure. This methodology allows it to handle arbitrary topologies while preserving sharp edges.

What surface attributes can TRELLIS.2 model?

TRELLIS.2 can model arbitrary surface attributes such as Base Color, Roughness, Metallic, and Opacity.

How does TRELLIS.2 facilitate Physically Based Rendering (PBR)?

TRELLIS.2 facilitates Physically Based Rendering (PBR) by allowing for the modeling of arbitrary surface attributes such as Base Color, Roughness, Metallic, and Opacity. It can hence, accurately model rich surface materials for PBR and carry out photorealistic relighting.

What is the purpose of the 'O-Voxel' in TRELLIS.2?

The purpose of the 'O-Voxel' in TRELLIS.2 is to provide a novel 'field-free' sparse voxel structure designed to encode both precise geometry and complex appearance simultaneously.

How does TRELLIS.2 compress voxel data?

TRELLIS.2 compresses voxel data using a Sparse Compression 3D VAE, employing a Sparse Residual Autoencoding scheme to directly compress voxel data into a compact structured latent space.

What are the benefits of using the Sparse Compression VAE component in TRELLIS.2?

The benefits of using the Sparse Compression VAE component in TRELLIS.2 are twofold: It efficiently and compactly encodes the fully textured 3D asset with minimal perceptual degradation and it enables efficient large-scale generative modeling.

How efficient is TRELLIS.2 in large-scale generative modeling?

TRELLIS.2 is highly efficient in large-scale generative modeling. It can encapsulate fully textured 3D assets into a compact representation with minimal perceptual degradation, thus enabling it to carry out efficient large-scale generative modeling.

What does it mean that TRELLIS.2 is an open-source project?

That TRELLIS.2 is an open-source project means it is freely available for the public to use, adapt, and improve upon. Any enhancements made to the source code can be shared back with the community, offering the opportunity for collaborative improvement.

TRELLIS 2 ✓

Verdict

Overview

Best for

Generate high-fidelity 3D assets from images instantly.

Example outputs 1

Access & connections

Platforms