High-Fidelity Text-to-3D Generation with Advanced Diffusion Guidance at ICLR 2024
The author proposes a novel approach for high-quality text-to-3D generation in a single-stage training, utilizing advanced diffusion guidance and innovative optimization techniques.
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
Sculpt3D integrates 3D shape and appearance information for multi-view consistent text-to-3D generation while maintaining the high-quality generation capabilities of the 2D diffusion model.
Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph
Proposing the Hyper-3DG framework for high-quality 3D asset generation through innovative hypergraph refinement.
Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
TextField3D introduces Noisy Text Fields to enhance open-vocabulary 3D generation by injecting dynamic noise into the latent space of text prompts.
Precise-Physics Driven Text-to-3D Generation: Bridging 3D Virtual Modeling and Physics Perception
Incorporating precise physics into text-to-3D generation methods enhances the practicality and realism of generated 3D shapes.
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
Sculpt3D integrates 3D shape and appearance information for multi-view consistent text-to-3D generation while maintaining high-quality generation capabilities.
TextField3D: Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields
TextField3D introduces Noisy Text Fields to enhance open-vocabulary 3D generation by injecting dynamic noise into text prompts, improving text consistency and generation quality.
GVGEN: Text-to-3D Generation with Volumetric Representation
Efficiently generating 3D Gaussians from text descriptions using a novel diffusion-based framework, GVGEN.
DreamReward: Text-to-3D Generation with Human Preference
Learning from human feedback to improve text-to-3D models.
Direct2.5: Multi-view 2.5D Diffusion for Diverse Text-to-3D Generation
Efficiently generating diverse 3D content from text prompts using a multi-view 2.5D diffusion approach.