8 papers
SceneFrom3D: Geometry-Conditioned Outdoor 3D Scene Generation via View Scheduling with Object-Level Control
Geonung Kim, Jeongeun Park, Nuri Ryu +2
Geometry-conditioned 3D scene generation enables the creation of 3D environments from user-provided geometry, offering direct control over scene structure and object layout. To gen…
HL-OutPaint: Coarse-to-Fine Video Outpainting for High-Resolution Long-Range Videos
Jeongeun Park, Janghyeok Han, Geonung Kim +4
Video outpainting generates plausible visual content beyond the original spatial extent of a video, playing a key role in adapting videos to diverse display formats. To support suc…
VideoFrom3D: 3D Scene Video Generation via Complementary Image and Video Diffusion Models
Geonung Kim, Janghyeok Han, Sunghyun Cho
In this paper, we propose VideoFrom3D, a novel framework for synthesizing high-quality 3D scene videos from coarse geometry, a camera trajectory, and a reference image. Our approac…
DC-VSR: Spatially and Temporally Consistent Video Super-Resolution with Video Diffusion Prior
Janghyeok Han, Gyujin Sim, Geonung Kim +4
Video super-resolution (VSR) aims to reconstruct a high-resolution (HR) video from a low-resolution (LR) counterpart. Achieving successful VSR requires producing realistic HR detai…
LayeringDiff: Layered Image Synthesis via Generation, then Disassembly with Generative Knowledge
Kyoungkook Kang, Gyujin Sim, Geonung Kim +3
Layers have become indispensable tools for professional artists, allowing them to build a hierarchical structure that enables independent control over individual visual elements. I…
RNA: Video Editing with ROI-based Neural Atlas
Jaekyeong Lee, Geonung Kim, Sunghyun Cho
With the recent growth of video-based Social Network Service (SNS) platforms, the demand for video editing among common users has increased. However, video editing can be challengi…