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By popular request, I wrote a separate article on effectively managing and running experiments during a PhD in AI. I learned that effectively running experiments can be a crucial aspect of a PhD and I wanted to share some of my learnings 🧵: davidstutz.de/i3A0y
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors arxiv.org/abs/2407.00316 Project: cs.stanford.edu/~xtiange/proje… Method 1 | 2 ⬇️
🔥 No More Ambiguity in 360° Room Layout via Bi-Layout Estimation 🔥 Visit our #CVPR2024 poster to learn how we solve ambiguity challenge for 360° room layout estimation! Project page: liagm.github.io/Bi_Layout/ 🗓️ Friday, 06/21 🕔 17:00 - 18:30 📌 Poster 375
We will present Intrinsic Image Diffusion #CVP2024! Material estimation is ambiguous -> we handle it with a probabilistic diffusion model. We obtain sharp albedo, roughness, and metallic maps just from a single image. peter-kocsis.github.io/IntrinsicImage… By @Peter4AI with @vincesitzmann
🌟Introducing "🤖SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model" anjiecheng.me/SpatialRGPT SpatialRGPT is a powerful region-level VLM that can understand both 2D and 3D spatial arrangements. It can process any region proposal (e.g., boxes or masks) and provide…
(1/6) NeRF vs 3D Gaussians vs 3D Meshes What's better? It's actually simple: the recent success in photo-realistic 3D reconstruction relies on efficient differentiable volumetric rendering. Rays across aligned images intersect, and we solve through ray integrals for the surface.
Our computer vision textbook is released! Foundations of Computer Vision with Antonio Torralba and Bill Freeman mitpress.mit.edu/9780262048972/… It’s been in the works for >10 years. Covers everything from linear filters and camera optics to diffusion models and radiance fields. 1/4
#CVPR2024 received 11,532 valid paper submissions, and only 2,719 were accepted, for an overall acceptance rate of about 23.6%
The decision for #CVPR2024 is visible in the #Openreview!
YOLOv9 is better than any convolution or transformer based object detectors Paper: arxiv.org/abs/2402.13616 Code: github.com/WongKinYiu/yol…
🔥Generative Gaussian Splatting🔥 #ICLR2024 Our 🚀DreamGaussian🚀 is accepted to @iclr_conf as **oral presentation**, enabling high-quality 3D generation in 2 minutes - Project: dreamgaussian.github.io - Code: github.com/dreamgaussian/… - Demo @huggingface: huggingface.co/spaces/jiawei0…
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation paper page: huggingface.co/papers/2309.16… Recent advances in 3D content creation mostly leverage optimization-based 3D generation via score distillation sampling (SDS). Though promising results have been…
TikTok presents Depth Anything Unleashing the Power of Large-Scale Unlabeled Data paper page: huggingface.co/papers/2401.10… demo: huggingface.co/spaces/LiheYou… Depth Anything is trained on 1.5M labeled images and 62M+ unlabeled images jointly, providing the most capable Monocular Depth…
🎉 V1.0.0 officially released! * New splatfacto model, nerfstudio's implementation of Gaussian splatting * Complete rewrite of the viewer, now built entirely on viser
We just finished a joint code release for CamP (camp-nerf.github.io) and Zip-NeRF (jonbarron.info/zipnerf/). As far as I know, this code is SOTA in terms of image quality (but not speed) among all the radiance field techniques out there. Have fun! github.com/jonbarron/camp…
🎊Happy to announce that our paper 'Dual Associated Encoder for Face Restoration' has been accepted to #ICLR2024 @iclr_conf! Thank co-authors for all the valuable advice! See you in Vienna! Paper: arxiv.org/abs/2308.07314 Project page: liagm.github.io/DAEFR/
Nature presents a captivating confluence of similarity and diversity. Our new method 3D-Fauna learns a pan-category articulated 3D model of quadruped animals from Internet photos. At test time, it turns a single image into an animatable textured 3D mesh in a feed-forward pass.
We have build a code repository of our group projects and made public some source codes, including the latest works of DreamCraft3D, GPS-Gaussian, HumanNorm, and HAvatar. See: github.com/thu3dhuman
(1/5) We just released our new paper Virtual Pets! Recent generative models are getting us a bit closer to a fully synthetic virtual environment. BUT!! Isn't it too boring without a cat😾? Here we go! Project: yccyenchicheng.github.io/VirtualPets/ ArXiv: arxiv.org/abs/2312.14154
We believe we did a breakthrough in Geometric 3D Vision: meet DUSt3R, an all-in-one 3D Reconstruction method arxiv.org/abs/2312.14132
I've been working on and off in this intrinsic image space for almost 15 years now, and I think these are the most impressive results I've ever seen?
(1/2) Intrinsic Image Diffusion for Single-view Material Estimation! We propose a probabilistic diffusion model to handle material & lighting ambiguities. We obtain sharp material estimates and facilitate high-fidelity relighting. youtu.be/lz0meJlj5cA peter-kocsis.github.io/IntrinsicImage…
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Who to follow
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Yen-Chi Cheng
@yenchicheng -
Wei-Cheng Tseng
@WeiChengTseng1 -
Wei-Chiu Ma
@weichiuma -
Fu-En (Fred) Yang
@FuEnYang1 -
Chien-Yi Wang
@chienyi_wang -
Yu-Ying Yeh
@YuYingYeh1 -
Shenlong Wang
@ShenlongWang -
Chan-Wei Hu
@JeremyChanWei -
An-Chieh Cheng
@anjjei -
Yun-Chun Chen
@ycchen918 -
Tzu-Heng Huang
@zihengh1 -
Tao
@ttao_tw -
Tsun-Yi Yang 楊存毅 🇹🇼🏳️🌈
@shamangary -
Andrew Liao @ EMNLP2024 ✈️
@andrewliao11 -
Yen-Cheng Liu
@yen_cheng_liu
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