activity
20172024
most citedVideo Frame Interpolation via Adaptive Separable Convolution

72 citations · 185 across the 17 of their papers we have counts for

collaborators

17 papers

cs.CV2024★ 1 cited

Benchmarking Video Frame Interpolation

Simon Kiefhaber, Simon Niklaus, Feng Liu +1

Video frame interpolation, the task of synthesizing new frames in between two or more given ones, is becoming an increasingly popular research target. However, the current evaluati…

cs.CV2023

Fast View Synthesis of Casual Videos with Soup-of-Planes

Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen +4

Novel view synthesis from an in-the-wild video is difficult due to challenges like scene dynamics and lack of parallax. While existing methods have shown promising results with imp…

cs.CV2023

Video Frame Interpolation with Many-to-many Splatting and Spatial Selective Refinement

Ping Hu, Simon Niklaus, Lu Zhang +2

In this work, we first propose a fully differentiable Many-to-Many (M2M) splatting framework to interpolate frames efficiently. Given a frame pair, we estimate multiple bidirection…

cs.CV2022★ 3 cited

Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular Image

Wei Yin, Jianming Zhang, Oliver Wang +4

Despite significant progress made in the past few years, challenges remain for depth estimation using a single monocular image. First, it is nontrivial to train a metric-depth pred…

cs.CV2022★ 4 cited

Towards Domain-agnostic Depth Completion

Guangkai Xu, Wei Yin, Jianming Zhang +4

Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task domains. We present a method to complete sparse/semi-dense, n…

cs.CV2022

Layered Depth Refinement with Mask Guidance

Soo Ye Kim, Jianming Zhang, Simon Niklaus +4

Depth maps are used in a wide range of applications from 3D rendering to 2D image effects such as Bokeh. However, those predicted by single image depth estimation (SIDE) models oft…