3 papers
cs.CV2026
PanoDreamer: Optimization-Based Single Image to 360 3D Scene With Diffusion
Avinash Paliwal, Xilong Zhou, Andrii Tsarov +1
In this paper, we present PanoDreamer, a novel method for producing a coherent 360° 3D scene from a single input image. Unlike existing methods that generate the scene sequentiall…
cs.CV2025
EfficientDepth: A Fast and Detail-Preserving Monocular Depth Estimation Model
Andrii Litvynchuk, Ivan Livinsky, Anand Ravi +2
Monocular depth estimation (MDE) plays a pivotal role in various computer vision applications, such as robotics, augmented reality, and autonomous driving. Despite recent advanceme…
cs.CV2025
Text2Stereo: Repurposing Stable Diffusion for Stereo Generation with Consistency Rewards
Aakash Garg, Libing Zeng, Andrii Tsarov +1
In this paper, we propose a novel diffusion-based approach to generate stereo images given a text prompt. Since stereo image datasets with large baselines are scarce, training a di…