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Tianye Li Profile
Tianye Li

@_TianyeLi

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49

Research scientist @NVIDIA. Previously @EpicGames, @USC, @PerceivingSys, @RealityLabs, @Snap.

Santa Clara, CA
Joined March 2021
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@_TianyeLi
Tianye Li
1 month
Join us at #CVPR2025 workshop on Photo-realistic 3D Head Avatars, featuring invited talks by leading experts as well as new benchmark challenges!.@debfx @shalinidemello @psyth91 @YaoFeng1995 Stefanos Zafeiriou @HaoLi81 . πŸ”—:
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@_TianyeLi
Tianye Li
1 month
RT @NVIDIAAIDev: Don't miss the "Volumetric Video in the Real World" tutorial at #CVPR2025 on 6/11. Hear from top academic & industry exper….
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@_TianyeLi
Tianye Li
1 month
Join our #CVPR2025 Tutorial on VolumetricΒ VideoΒ in the Real World on 6/11! With amazing speakers:.@holynski_ @c_richardt @iamborisi @yiyi_liao_ @sharathgirish97 & Lan Xu. ⏲️Wed, 6/11, 9am - 5pm CDT.🏒Room 205B, Music City Center, Nashville TN @CVPR.πŸ”—
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@_TianyeLi
Tianye Li
1 month
RT @janusch_patas: Code dropped! Link in comment!
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@_TianyeLi
Tianye Li
1 month
RT @amritamaz: Join us for "Volumetric Video in the Real World", a tutorial on 4D research @CVPR in Nashville, on Wednesday June 11 from 9a….
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@_TianyeLi
Tianye Li
1 month
RT @TobiasKirschst1: Join us at the workshop on Photo-realistic 3D Head Avatars at #CVPR2025, featuring invited talks by leading academic r….
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@_TianyeLi
Tianye Li
4 months
Great work with @amritamaz, Michael Stengel,.@jkim_kr_, @shalinidemello!.
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@_TianyeLi
Tianye Li
4 months
We render and display dynamic 3D scenes on a VR headset and allow viewpoint control with both the mouse and head movement. Our high-resolution and high-framerate content is highly realistic (e.g. the punches of the boxer results in some users flinching). #VR #3DVideo
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@_TianyeLi
Tianye Li
4 months
We use QUEEN to compress a dynamic 3D scene into a quantized set of 3D Gaussian primitives, then play it back on both a large 2D display (with mouse-based viewpoint control) and a Looking Glass light field displays.
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@_TianyeLi
Tianye Li
4 months
Our team is demonstrating immersive 3D video experiences at #GTC2025. Please come to the XR pavilion at the Tech Interactive. Website: #NVIDIA #VolumetricVideo #3DVideo #3DGS
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@_TianyeLi
Tianye Li
4 months
RT @amritamaz: awesome first day showing off our volumetric video demos at #GTC25 ! we combine our 4DGS work QUEEN with fast light field re….
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@_TianyeLi
Tianye Li
5 months
This is a great contribution to the community!.
@MattNiessner
Matthias Niessner
5 months
πŸ“’πŸ“’ππžπ‘π’πžπ¦π›π₯𝐞 𝐯𝟐 πƒπšπ­πšπ¬πžπ­ π‘πžπ₯πžπšπ¬πžπŸ“’πŸ“’ . Head captures of 7.1MP from 16 cameras at 73fps:. * More recordings (425 people). * Better color calibration. * Convenient download scripts. The new version of our dataset adds 156
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@_TianyeLi
Tianye Li
7 months
RT @ducha_aiki: BLADE: Single-view Body Mesh Learning through Accurate Depth Estimation. @mct1224 Jiefeng Li, @_TianyeLi Ye Yuan, Henry Fu….
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@_TianyeLi
Tianye Li
7 months
@sharathgirish97 @amritamaz @abhi2610 @davedotluebke @shalinidemello @nvidia @NVIDIAAI @UofMaryland Check out our poster!.East Exhibit Hall A-C #1201.Fri 13 Dec 4:30 - 7:30 pm PST. πŸ‘‘ QUEEN simultaneously reconstructs the dynamic scene and compresses the model size to just 0.7 MB per frame while training in under 5 sec and rendering at 350 FPS. #NeurIPS2024 #NVIDIAResearch
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@_TianyeLi
Tianye Li
7 months
@sharathgirish97 @amritamaz @abhi2610 @davedotluebke @shalinidemello @nvidia @NVIDIAAI @UofMaryland @amritamaz will present our poster on Friday 4:30-7:30pm. Please say hi πŸ˜€.#NeurIPS2024 . 🌐 website: πŸ“„ paper:
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@_TianyeLi
Tianye Li
7 months
πŸ‘‘ QUEEN captures high-quality free-viewpoint videos and reduces the model size to 0.7 MB / frame while training in under 5 sec and rendering at 350 FPS #NeurIPS2024 . @sharathgirish97 @_TianyeLi @amritamaz @abhi2610 @davedotluebke @shalinidemello.@NVIDIA @NVIDIAAI @UofMaryland.
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@_TianyeLi
Tianye Li
7 months
RT @janusch_patas: QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos. Contributions:. β€’ We propo….
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@_TianyeLi
Tianye Li
2 years
RT @jbhuang0604: Video: .
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@_TianyeLi
Tianye Li
2 years
RT @BolkartTimo: #CVPR2023: Come to our poster, TUE-AM-073, if you want to know more about the reconstruction of 3D heads in dense semantic….
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@_TianyeLi
Tianye Li
2 years
If you are at #CVPR2023, please come to our poster #73 today (Tuesday) in the morning!.
@BolkartTimo
Timo Bolkart
2 years
#CVPR2023: Capturing expressive 3D heads at scale is a key enabler for modeling realistic head #avatars. TEMPEH predicts 3D head meshes in dense semantic correspondence directly from calibrated multi-view images in about 0.3 seconds.
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