4 citations · 6 across the 25 of their papers we have counts for
4 papers · 1 filter
GenDeF: Learning Generative Deformation Field for Video Generation
Wen Wang, Kecheng Zheng, Qiuyu Wang +5
We offer a new perspective on approaching the task of video generation. Instead of directly synthesizing a sequence of frames, we propose to render a video by warping one static im…
Learning Naturally Aggregated Appearance for Efficient 3D Editing
Ka Leong Cheng, Qiuyu Wang, Zifan Shi +5
Neural radiance fields, which represent a 3D scene as a color field and a density field, have demonstrated great progress in novel view synthesis yet are unfavorable for editing du…
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
Hao Ouyang, Qiuyu Wang, Yuxi Xiao +6
We present the content deformation field CoDeF as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire vide…
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
Qiuyu Wang, Zifan Shi, Kecheng Zheng +3
Despite the rapid advance of 3D-aware image synthesis, existing studies usually adopt a mixture of techniques and tricks, leaving it unclear how each part contributes to the final…