Physdreamer: Physics-based interaction with 3d objects via video generation
Realistic object interactions are crucial for creating immersive virtual experiences, yet
synthesizing realistic 3D object dynamics in response to novel interactions remains a …
synthesizing realistic 3D object dynamics in response to novel interactions remains a …
Generative camera dolly: Extreme monocular dynamic novel view synthesis
Accurate reconstruction of complex dynamic scenes from just a single viewpoint continues to
be a challenging task in computer vision. Current dynamic novel view synthesis methods …
be a challenging task in computer vision. Current dynamic novel view synthesis methods …
Dynamic gaussian marbles for novel view synthesis of casual monocular videos
Gaussian splatting has become a popular representation for novel-view synthesis, exhibiting
clear strengths in efficiency, photometric quality, and compositional edibility. Following its …
clear strengths in efficiency, photometric quality, and compositional edibility. Following its …
MorpheuS: Neural Dynamic 360deg Surface Reconstruction from Monocular RGB-D Video
Neural rendering has demonstrated remarkable success in dynamic scene reconstruction.
Thanks to the expressiveness of neural representations prior works can accurately capture …
Thanks to the expressiveness of neural representations prior works can accurately capture …
Recapture: Generative video camera controls for user-provided videos using masked video fine-tuning
Recently, breakthroughs in video modeling have allowed for controllable camera trajectories
in generated videos. However, these methods cannot be directly applied to user-provided …
in generated videos. However, these methods cannot be directly applied to user-provided …
DreamDrive: Generative 4D Scene Modeling from Street View Images
Synthesizing photo-realistic visual observations from an ego vehicle's driving trajectory is a
critical step towards scalable training of self-driving models. Reconstruction-based methods …
critical step towards scalable training of self-driving models. Reconstruction-based methods …
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models
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 …
trained 3D generative models, which are typically fine-tuned on synthetic object datasets. As …
D-NPC: Dynamic Neural Point Clouds for Non-Rigid View Synthesis from Monocular Video
Dynamic reconstruction and spatiotemporal novel-view synthesis of non-rigidly deforming
scenes recently gained increased attention. While existing work achieves impressive quality …
scenes recently gained increased attention. While existing work achieves impressive quality …
OSN: infinite representations of dynamic 3D scenes from monocular videos
It has long been challenging to recover the underlying dynamic 3D scene representations
from a monocular RGB video. Existing works formulate this problem into finding a single …
from a monocular RGB video. Existing works formulate this problem into finding a single …
MoDGS: Dynamic Gaussian Splatting from Causually-captured Monocular Videos
In this paper, we propose MoDGS, a new pipeline to render novel-view images in dynamic
scenes using only casually captured monocular videos. Previous monocular dynamic NeRF …
scenes using only casually captured monocular videos. Previous monocular dynamic NeRF …