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InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models

Y Lu, X Ren, J Yang, T Shen, Z Wu, J Gao… - arxiv preprint arxiv …, 2024 - arxiv.org

We present InfiniCube, a scalable method for generating unbounded dynamic 3D driving
scenes with high fidelity and controllability. Previous methods for scene generation either …

Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoders

R Chen, J Zhang, Y Liang, G Luo, W Li, J Liu… - arxiv preprint arxiv …, 2024 - arxiv.org

Recent 3D content generation pipelines commonly employ Variational Autoencoders (VAEs)
to encode shapes into compact latent representations for diffusion-based generation …

Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos

H Liang, J Ren, A Mirzaei, A Torralba, Z Liu… - arxiv preprint arxiv …, 2024 - arxiv.org

Recent advancements in static feed-forward scene reconstruction have demonstrated
significant progress in high-quality novel view synthesis. However, these models often …

ShapeShifter: 3D Variations Using Multiscale and Sparse Point-Voxel Diffusion

N Maruani, W Yifan, M Fisher, P Alliez… - arxiv preprint arxiv …, 2025 - arxiv.org

This paper proposes ShapeShifter, a new 3D generative model that learns to synthesize
shape variations based on a single reference model. While generative methods for 3D …

Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering

C Sun, J Choe, C Loop, WC Ma, YCF Wang - arxiv preprint arxiv …, 2024 - arxiv.org

We propose an efficient radiance field rendering algorithm that incorporates a rasterization
process on sparse voxels without neural networks or 3D Gaussians. There are two key …