GitHub

TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding

This repo contains the official PyTorch implementation for paper Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. Look here for 中文解读. conda create -n TSP3D python=3.9 conda activate ...
IEEE

Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models

Abstract: Text-guided diffusion models have revolutionized image and video generation and have also been successfully used for optimization-based 3D object synthesis. Here, we in-stead focus on the ...
Morningstar

RealD and CJ 4DPLEX Partner to Integrate RealD 3D into SCREENX, Creating a Next-Level Immersive Cinema Experience for Movie Theaters Around the World

LOUISVILLE, Colo. and BURBANK, Calif., Dec. 11, 2025 /PRNewswire/ -- RealD, the world's leading 3D cinema technology company, and CJ 4DPLEX, the innovators behind the panoramic theatrical format ...
IEEE

Text2NeRF: Text-Driven 3D Scene Generation With Neural Radiance Fields

Abstract: Text-driven 3D scene generation is widely applicable to video gaming, film industry, and metaverse applications that have a large demand for 3D scenes. However, existing text-to-3D ...
GitHub

Code for the paper "VividDreamer: Towards High-Fidelity and Efficient Text-to-3D Generation"

We propose Pose-dependent Consistency Distillation Sampling (PCDS), a novel yet efficient objective for diffusion-based 3D generation tasks. Specifically, PCDS builds the pose-dependent consistency ...