The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm
of explicit radiance field and computer graphics. This innovative approach, characterized by …

Recent breakthroughs in text-to-4D generation rely on pre-trained text-to-image and text-to-
video models to generate dynamic 3D scenes. However current text-to-4D methods face a …

Realistic object interactions are crucial for creating immersive virtual experiences, yet
synthesizing realistic 3D object dynamics in response to novel interactions remains a …

We present L4GM, the first 4D Large Reconstruction Model that produces animated objects
from a single-view video input--in a single feed-forward pass that takes only a second. Key …

View-predictive generative models provide strong priors for lifting object-centric images and
videos into 3D and 4D through rendering and score distillation objectives. A question then …

Recent progress in pre-trained diffusion models and 3D generation have spurred interest in
4D content creation. However, achieving high-fidelity 4D generation with spatial-temporal …

Existing dynamic scene generation methods mostly rely on distilling knowledge from pre-
trained 3D generative models, which are typically fine-tuned on synthetic object datasets. As …

Current 4D generation methods have achieved noteworthy efficacy with the aid of advanced
diffusion generative models. However, these methods lack multi-view spatial-temporal …