Modern text-to-video synthesis models demonstrate coherent, photorealistic generation of
complex videos from a text description. However, most existing models lack fine-grained …

A key challenge in manipulation is learning a policy that can robustly generalize to diverse
visual environments. A promising mechanism for learning robust policies is to leverage …

Recently, breakthroughs in video modeling have allowed for controllable camera trajectories
in generated videos. However, these methods cannot be directly applied to user-provided …

Autostereoscopic display technology, despite decades of development, has not achieved
extensive application, primarily due to the daunting challenge of three-dimensional (3D) …

Vision foundation models trained on massive amounts of visual data have shown
unprecedented reasoning and planning skills in open-world settings. A key challenge in …

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 …

Recent advancements in video diffusion models have shown exceptional abilities in
simulating real-world dynamics and maintaining 3D consistency. This progress inspires us …

Repurposing pre-trained diffusion models has been proven to be effective for NVS.
However, these methods are mostly limited to a single object; directly applying such …

Stereo video synthesis from a monocular input is a demanding task in the fields of spatial
computing and virtual reality. The main challenges of this task lie on the insufficiency of high …

In this paper, we present PointmapDiffusion, a novel framework for single-image novel view
synthesis (NVS) that utilizes pre-trained 2D diffusion models. Our method is the first to …