Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: Compressible-composable NeRF via Rank-residual Decomposition
      0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-007-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-007-alpha.b-cdn.net
      • sl-yoda-v2-stream-007-beta.b-cdn.net
      • 1678031076.rsc.cdn77.org
      • 1932936657.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            Compressible-composable NeRF via Rank-residual Decomposition
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            Compressible-composable NeRF via Rank-residual Decomposition

            Nov 28, 2022

            Sprecher:innen

            JT

            Jiaxiang Tang

            Sprecher:in · 0 Follower:innen

            XC

            Xiaokang Chen

            Sprecher:in · 0 Follower:innen

            JW

            Jingbo Wang

            Sprecher:in · 0 Follower:innen

            Über

            Neural Radiance Field (NeRF) has emerged as a compelling method to represent 3D objects and scenes for photo-realistic rendering. However, its implicit representation causes difficulty in manipulating the models like the explicit mesh representation.Several recent advances in NeRF manipulation are usually restricted by a shared renderer network, or suffer from large model size. To circumvent the hurdle, in this paper, we present a neural field representation that enables efficient and convenient…

            Organisator

            N2
            N2

            NeurIPS 2022

            Konto · 961 Follower:innen

            Gefällt euch das Format? Vertraut auf SlidesLive, um euer nächstes Event festzuhalten!

            Professionelle Aufzeichnung und Livestreaming – weltweit.

            Freigeben

            Empfohlene Videos

            Präsentationen, deren Thema, Kategorie oder Sprecher:in ähnlich sind

            A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback
            04:59

            A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback

            Saeed Masoudian, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Improving Transformer with an Admixture of Attention Heads
            05:00

            Improving Transformer with an Admixture of Attention Heads

            Tan M. Nguyen, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Controllable Generation for Climate Modeling
            06:07

            Controllable Generation for Climate Modeling

            Moulik Choraria, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            SAGDA: Achieving 𝒪(ϵ^-2) Communication Complexity in Federated Min-Max Learning
            05:04

            SAGDA: Achieving 𝒪(ϵ^-2) Communication Complexity in Federated Min-Max Learning

            Haibo Yang, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Physically-Based Face Rendering for NIR-VIS Face Recognition
            04:43

            Physically-Based Face Rendering for NIR-VIS Face Recognition

            Yunqi Miao, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Learning to Branch with Tree MDPs
            04:26

            Learning to Branch with Tree MDPs

            Lara Scavuzzo, …

            N2
            N2
            NeurIPS 2022 2 years ago

            Ewigspeicher-Fortschrittswert: 0 = 0.0%

            Interessiert an Vorträgen wie diesem? NeurIPS 2022 folgen