Bootstrap3D

Synthetic data framework for enhancing 3D content creation

CommonProductImage3D content creationSynthetic data

Bootstrap3D is a framework aimed at improving 3D content creation by leveraging synthetic data generation techniques to address the scarcity of high-quality 3D assets. It utilizes 2D and video diffusion models to generate multi-view images based on text prompts and employs the 3D-perceptive MV-LLaVA model to filter high-quality data and rewrite inaccurate titles. The framework has generated 1 million high-quality synthetic multi-view images with dense descriptive captions to alleviate the shortage of high-quality 3D data. It also introduces a Training Timestep Reschedule (TTR) strategy that leverages the denoising process to learn multi-view consistency while preserving the original 2D diffusion prior.

Best AI Websites & Tools

Bootstrap3D

Bootstrap3D Alternatives

Leffa — Controllable character image generation model

ComfyUI_HelloMeme — A tool for image and video generation based on diffusion models.

Color-diffusion — Using diffusion models for colorizing black and white images.

MV-Adapter — A convenient solution for multi-view consistent image generation.

text-to-pose — A model for generating poses from text and further generating images.

Diffusion Self-Distillation — A diffusion self-distillation technique for zero-shot custom image generation.

CAT4D — 4D scene creation tool utilizing multi-view video diffusion models.

MikuDance — A blended motion dynamics character art animation generation tool based on diffusion.

SeedEdit — A large diffusion model for revising images based on text prompts.

InstantIR — Blind image restoration technology that utilizes instant generation of reference images to recover damaged images.

PromptFix — A framework for repairing and editing photos based on human instructions.

FasterCache — A video diffusion model acceleration tool that generates high-quality video content without the need for training.

HelloMeme — Integrates spatially woven attention to enhance the fidelity of diffusion models under rich conditions.

Diffusers Image Outpaint — Image extension using diffusion models

OmniGen — A unified framework for image generation that simplifies multi-task image generation.

Concept Sliders — A low-rank adapter for precise control of concepts in diffusion models.

InterTrack — Human-object interaction tracking technology that does not require object templates.

DiPIR — Achieve realistic object insertion using diffusion-guided inverse rendering technology.

GameNGen — Neural model-driven real-time game engine.

ml-mdm — Efficiently trains high-quality text-to-image diffusion models

DiT-MoE — Large-scale Parameter Diffusion Transformer Model

Ouroboros3D — A framework for generating 3D models from 3D-aware recursive diffusion using single images.

Make-An-Audio 2 — Text-to-audio generation technology based on diffusion models

TryOnDiffusion — An AI-powered clothing try-on technology based on diffusion models.

DIAMOND — A reinforcement learning agent trained in a diffusion world model

CAT3D — Create 3D scenes from multi-view images

Make-Your-Anchor — A 2D virtual avatar generation framework based on diffusion models.

ELLA — An LLM-enhanced semantic alignment adapter for diffusion models

FreeControl — Control the text-to-image generation process