3d gaussian splatting: Survey, technologies, challenges, and opportunities
Y Bao, T Ding, J Huo, Y Liu, Y Li, W Li… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to
become a mainstream method for 3D representations. It can effectively transform multi-view …
become a mainstream method for 3D representations. It can effectively transform multi-view …
Vd3d: Taming large video diffusion transformers for 3d camera control
Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of
complex videos from a text description. However, most existing models lack fine-grained …
complex videos from a text description. However, most existing models lack fine-grained …
Phy124: Fast Physics-Driven 4D Content Generation from a Single Image
4D content generation focuses on creating dynamic 3D objects that change over time.
Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling …
Existing methods primarily rely on pre-trained video diffusion models, utilizing sampling …
4dynamic: Text-to-4d generation with hybrid priors
Due to the fascinating generative performance of text-to-image diffusion models, growing
text-to-3D generation works explore distilling the 2D generative priors into 3D, using the …
text-to-3D generation works explore distilling the 2D generative priors into 3D, using the …
AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers
Numerous works have recently integrated 3D camera control into foundational text-to-video
models, but the resulting camera control is often imprecise, and video generation quality …
models, but the resulting camera control is often imprecise, and video generation quality …
AR4D: Autoregressive 4D Generation from Monocular Videos
Recent advancements in generative models have ignited substantial interest in dynamic 3D
content creation (\ie, 4D generation). Existing approaches primarily rely on Score Distillation …
content creation (\ie, 4D generation). Existing approaches primarily rely on Score Distillation …
Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image
The task of 4D content generation involves creating dynamic 3D models that evolve over
time in response to specific input conditions, such as images. Existing methods rely heavily …
time in response to specific input conditions, such as images. Existing methods rely heavily …