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📢Diff3r: fast feed-forward 3DGS + per-scene optimization Yueh-Cheng Liu predicts optimization-ready 3DGS init end to end, computing implicit gradients via Implicit Function Theorem + Gauss-Newton approximation for fast & stable results Check it out:

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Angela Dai

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17,689 görüntüleme • 2 ay önce •via X (Twitter)

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📢 QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization Yueh-Cheng Liu learns 2DGS initialization, densification, and optimization priors from ScanNet++ => fast & accurate reconstruction! Project:
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📢 QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization Yueh-Cheng Liu learns 2DGS initialization, densification, and optimization priors from ScanNet++ => fast & accurate reconstruction! Project:

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🚀Join the 𝐒𝐜𝐚𝐧𝐍𝐞𝐭++ 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞 #CVPR2026 2025! Think your method can handle large-scale 3D scenes? Put it to the test: Updates: ✅ Preprocessed, undistorted DSLR images ✅ 3DGS demo: by Yueh-Cheng Liu, Chandan Yeshwanth

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DJI OSMO360 with my tool is very easy and fast for 3DGS workflow. This 3DGS took only 5 min walk for capturing whole shrine :) Let's try 3DGS ! #OSMO360 #3DGS #Metashape #Postshot #Gaussian
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DJI OSMO360 with my tool is very easy and fast for 3DGS workflow. This 3DGS took only 5 min walk for capturing whole shrine :) Let's try 3DGS ! #OSMO360 #3DGS #Metashape #Postshot #Gaussian

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📢 ScanNet++ v2 Benchmark Release! 🏆 Test your state-of-the-art models on: 🔹 Novel View Synthesis 📸➡️🖼️ 🔹 3D Semantic & Instance Segmentation 🤖🔍🕶️ Shoutout to Chandan Yeshwanth and Yueh-Cheng Liu for their incredible work👏 🚀Check it out:
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📢 ScanNet++ v2 Benchmark Release! 🏆 Test your state-of-the-art models on: 🔹 Novel View Synthesis 📸➡️🖼️ 🔹 3D Semantic & Instance Segmentation 🤖🔍🕶️ Shoutout to Chandan Yeshwanth and Yueh-Cheng Liu for their incredible work👏 🚀Check it out:

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Just fast forward it to the end and see Wetin this guy dey do himself 💔
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Just fast forward it to the end and see Wetin this guy dey do himself 💔

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HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting Contributions: First, we propose Homogeneous Gaussian Splatting (HoGS), a novel method adopting homogeneous coordinates to represent positions and scales of 3DGS for realistic and real-time rendering of both near and far objects. Second, despite the ultimate simplicity of HoGS, our method achieves state-of-the-art NVS results compared to other implicit and explicit representations.
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HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting Contributions: First, we propose Homogeneous Gaussian Splatting (HoGS), a novel method adopting homogeneous coordinates to represent positions and scales of 3DGS for realistic and real-time rendering of both near and far objects. Second, despite the ultimate simplicity of HoGS, our method achieves state-of-the-art NVS results compared to other implicit and explicit representations.

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📢ScanEdit: Hierarchically-Guided Functional 3D Scan Editing Edit complex, real-world 3D scans with text -- Mohamed El Amine Boudjoghra combines LLM reasoning with geometric optimization to produce physically plausible, instruction-aligned scene edits Check it out:
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📢ScanEdit: Hierarchically-Guided Functional 3D Scan Editing Edit complex, real-world 3D scans with text -- Mohamed El Amine Boudjoghra combines LLM reasoning with geometric optimization to produce physically plausible, instruction-aligned scene edits Check it out:

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3DGS Render Addon for Blender is out! New features include: - Paint and use image textures to edit colour - Mesh to 3DGS conversion - Transformations and edits are exportable - Lot's of other boosts and little features! Link for the addon and a Quick Guide tutorial below #b3d #blender #3dgs #gaussiansplatting

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Okatakyie Afrifa invokes curses on all persons implicit in galamsey operations at the end of his anti galamsey protest.
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(1/2) How to use GANs for high-quality NeRF reconstruction? GANeRF proposes an adversarial rendering formulation whose gradients constrain a 3D NeRF optimization: highly-realistic & view-consistent renderings! #SIGGRAPHAsia2023
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(1/2) How to use GANs for high-quality NeRF reconstruction? GANeRF proposes an adversarial rendering formulation whose gradients constrain a 3D NeRF optimization: highly-realistic & view-consistent renderings! #SIGGRAPHAsia2023

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Check out 🌟Vid2Sim: Generalizable, Video-based Reconstruction of Appearance, Geometry & Physics for Mesh-Free Simulation #CVPR2025, from Lingjie Liu’s lab at UPenn. Congrats to Chuhao Chen! Vid2Sim aims to achieve system identification by reconstructing geometry, appearance, and physical properties directly from video. It combines learned data priors with closed-loop optimization: a feed-forward predictor trained on physical prior, followed by fast refinement via Neural Jacobian and mesh-free simulation. The system delivers simulation-ready outputs in minutes, with strong generalization across objects and materials. 🏠Project page: #PhysicalAI #AIGC #CV #CG #simulation #graphics

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Nothing wey no happen for church today, this is Pastor Eneche of the Dunamis church…just try watch till the end or just fast forward to the end 😭🧎🏻‍♂️‍➡️
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Nothing wey no happen for church today, this is Pastor Eneche of the Dunamis church…just try watch till the end or just fast forward to the end 😭🧎🏻‍♂️‍➡️

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Normally, 3D Gaussian Splatting stops at “pretty renders”. 😎 Our 3DGS→Mesh 2.0 doesn’t stop there. 😤 We merged mesh generation into Gaussian optimization itself 🧭— predicting normals, filtering reflections✨, and forming surfaces as it trains. Result: manifold, reflection-aware mesh from pure Gaussians🚀
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Normally, 3D Gaussian Splatting stops at “pretty renders”. 😎 Our 3DGS→Mesh 2.0 doesn’t stop there. 😤 We merged mesh generation into Gaussian optimization itself 🧭— predicting normals, filtering reflections✨, and forming surfaces as it trains. Result: manifold, reflection-aware mesh from pure Gaussians🚀

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Omg Jesse schools Jessica! lol 😂! The end is priceless on this video! You could just fast forward to the end 😂😂😂😂
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Omg Jesse schools Jessica! lol 😂! The end is priceless on this video! You could just fast forward to the end 😂😂😂😂

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📢 We introduce PPISP, a physically plausible camera module for Gaussian Splatting that reduces floaters under varying appearance and predicts camera corrections for novel views such that they closely match what a real camera would output. #CV #3DGS

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