OmniRay: Camera-Agnostic Monocular 3D Reconstruction with Composite Ray Fields Namitha Guruprasad, Abhay Yadav, Cheng Peng, Rama Chellappa, @anandbhattad.bsky.social tl;dr: no intrinsics or camera-type input arxiv.org/abs/2610.31645

1/ What do video models know about high school physics? Less than you'd think. We built Principia: relational physics tests for video models. We evaluate on eight laws, over 500+ real scenes, and one simple idea. principiabench.github.io paper: arxiv.org/abs/2609.04200

📢 Super excited about our "Thinking in Boxes" Idea: fit 3D boxes around objects in a single "real" photo, then move the boxes. Objects translate & rotate; two of them can swap places; the camera moves; and the scene holds up. Enjoy the video below. More on our website: thinking-in-boxes.github.io

Vision and Graphics Trends@si-cv-graphics.bsky.social · 4mo ago

𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 𝗶𝗻 𝗕𝗼𝘅𝗲𝘀: 𝟯𝗗 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 𝗶𝗻 𝗥𝗲𝗮𝗹 𝗜𝗺𝗮𝗴𝗲𝘀 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 Pradhaan S Bhat, Naveen Chandra R, Rishubh Parihar ... Anand Bhattad arxiv.org/abs/2606.20556 Trending on scholar-inbox.com

"Bitter Lessons" workshop tomorrow (Jun 3rd) starting from 08:45 am in Room 3A-3D at #CVPR2026. Website and schedule: sites.google.com/view/bitterl...

𝗚𝗲𝗻𝗲𝗿𝗮𝗹𝗶𝘇𝗮𝗯𝗹𝗲 𝗦𝗽𝗮𝗿𝘀𝗲-𝗩𝗶𝗲𝘄 𝟯𝗗 𝗥𝗲𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗨𝗻𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝗜𝗺𝗮𝗴𝗲𝘀 Vinayak Gupta, Chih-Hao Lin, Shenlong Wang ... Jia-Bin Huang arxiv.org/abs/2604.28193 Trending on www.scholar-inbox.com

At #ICLR2026, Vaibhav Vavilala presented our paper, "Generative Blocks World"! This is one of my favorites from recent times. We spent two years hacking around with diffusion models to get them to do object editing. The solution turned out to be way simpler. A few blocks in 3D space is enough ...

JHU Computer Science@jhucompsci.bsky.social · 6mo ago

In “Generative Blocks World: Moving Things Around in Pictures,” @anandbhattad.bsky.social and UIUC researchers create a world to interact with the scene of a generated image by manipulating simple geometric abstractions 🔷: (8/12)

SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization Deming Li, Abhay Yadav, Cheng Peng, Rama Chellappa, @anandbhattad.bsky.social tl;dr: joint conditional over multiple views to enforce consistency during denoising arxiv.org/abs/2604.11797

Join us in advancing data science and AI research! The Johns Hopkins Data Science and AI Institute Postdoctoral Fellowship Program is now accepting applications for the 2026–2027 academic year. Apply now! Deadline: Jan 23, 2026. Details and apply: apply.interfolio.com/179059

10 new CS professors! 🥳 @anandbhattad.bsky.social @uthsav.bsky.social @gligoric.bsky.social @murat-kocaoglu.bsky.social @tiziano.bsky.social

Johns Hopkins Data Science and AI Institute@hopkinsdsai.bsky.social · last yr.

#HopkinsDSAI welcomes 22 new faculty members, who join more than 150 DSAI faculty members across @jhu.edu in advancing the study of data science, machine learning, and #AI and translation to a range of critical and emerging fields. ai.jhu.edu/news/data-sc...

I decided not to travel to #ICCV2025 because it coincides with Diwali (Oct 20). Diwali often falls near the #CVPR deadline window, but this year overlaps with ICCV. I understand it’s hard to avoid all global holidays, but I hope future conferences can keep this in mind when selecting dates.

I will be recruiting a few students for Fall 2026. In particular, I will strongly consider a PhD applicant with training in applied/computational mechanics and computer vision/machine learning. If you or someone you know has this background, please contact me.

Anand Bhattad@anandbhattad.bsky.social · last yr.

I’m thrilled to share that I will be joining Johns Hopkins University’s Department of Computer Science (@jhucompsci.bsky.social, @hopkinsdsai.bsky.social) as an Assistant Professor this fall.

So You Want to Be an Academic? A couple of years into your PhD, but wondering: "Am I doing this right?" Most of the advice is aimed at graduating students. But there's far less for junior folks who are still finding their academic path. My candid takes: anandbhattad.github.io/blogs/jr_gra...

So You Want to Be an Academic? What I Wish I Knew Early in Graduate School

Blog for junior PhD students on work, visibility, community, and sanity—long before the faculty job market is on the horizon.

anandbhattad.github.io

On our blog: Science is moving fast. How do we keep up? #ScholarInbox, developed by the Autonomous Vision Group led by @andreasgeiger.bsky.social, helps researchers stay ahead - by making the discovery of #openaccess papers smarter and more personal: www.machinelearningforscience.de/en/scholar-i...

Scholar Inbox: Daily Research Recommendations just for You

Science is moving fast. How can we keep up? Scholar Inbox helps researchers stay ahead by making the discovery of open access papers more personal.

machinelearningforscience.de

All slides from the #cvpr2025 (@cvprconference.bsky.social ) workshop "How to Stand Out in the Crowd?" are now available on our website: sites.google.com/view/standou...

Anand Bhattad@anandbhattad.bsky.social · 2y ago

🧵 1/3 Many at #CVPR2024 & #ECCV2024 asked what would be next in our workshop series. We're excited to announce "How to Stand Out in the Crowd?" at #CVPR2025 Nashville - our 4th community-building workshop featuring this incredible speaker lineup! 🔗 sites.google.com/view/standou...

I’m thrilled to share that I will be joining Johns Hopkins University’s Department of Computer Science (@jhucompsci.bsky.social, @hopkinsdsai.bsky.social) as an Assistant Professor this fall.

FastMap: Revisiting Dense and Scalable Structure from Motion Jiahao Li, Haochen Wang, @zubair-irshad.bsky.social, @ivasl.bsky.social, Matthew R. Walter, Vitor Campagnolo Guizilini, Greg Shakhnarovich tl;dr: replace BA with epipolar error+IRLS; fully PyTorch implementation arxiv.org/abs/2505.04612

This is really cool work!

Anand Bhattad@anandbhattad.bsky.social · 2y ago

[1/10] Is scene understanding solved? Models today can label pixels and detect objects with high accuracy. But does that mean they truly understand scenes? Super excited to share our new paper and a new task in computer vision: Visual Jenga! 📄 arxiv.org/abs/2503.21770 🔗 visualjenga.github.io

[1/10] Is scene understanding solved? Models today can label pixels and detect objects with high accuracy. But does that mean they truly understand scenes? Super excited to share our new paper and a new task in computer vision: Visual Jenga! 📄 arxiv.org/abs/2503.21770 🔗 visualjenga.github.io

I can’t believe this! Mind-blowing! There are small errors (a flipped logo, rotated chairs), but still, this is incredible!! Xiaoyan, who’s been working with me on relighting, sent this over. It’s one of the hardest examples we’ve consistently used to stress-test LumiNet: luminet-relight.github.io

Check out UrbanIR - Inverse rendering of unbounded scenes from a single video! It’s a super cool project led by the amazing Chih-Hao! @chih-hao.bsky.social is a rising star in 3DV! Follow him! Learn more here👇

Chih-Hao Lin@chih-hao.bsky.social · 2y ago

✨What if we could transform a daytime driving video into a realistic nighttime scene—without ever stepping outside again? We introduce UrbanIR, a neural rendering framework for 💡relighting, 🌃nighttime simulation, and 🚘 object insertion—all from a single video of urban scenes!

Can we create realistic renderings of urban scenes from a single video while enabling controllable editing: relighting, object compositing, and nighttime simulation? Check out our #3DV2025 UrbanIR paper, led by @chih-hao.bsky.social that does exactly this. 🔗: urbaninverserendering.github.io

Chih-Hao Lin@chih-hao.bsky.social · 2y ago

✨What if we could transform a daytime driving video into a realistic nighttime scene—without ever stepping outside again? We introduce UrbanIR, a neural rendering framework for 💡relighting, 🌃nighttime simulation, and 🚘 object insertion—all from a single video of urban scenes!

Introducing DaD (arxiv.org/abs/2503.07347), a pretty cool keypoint detector. As this will get pretty long, this will be two threads. The first will go into the RL part, and the second on the emergence and distillation.

Last was an intriguing talk by @anandbhattad.bsky.social on the degree to which physical properties are encoded in generative image models at the @grasplab.bsky.social www.youtube.com/watch?v=Idcb... (7/7)

Fall 2024 GRASP Seminar Anand Bhattad, Toyota Technological Institute at Chicago

YouTube video by GRASP Lab

youtube.com

ZeroComp will be presented as an Oral at #WACV2025! Train a diffusion model as a renderer that takes intrinsic images as input. Once trained, we can perform zero-shot object compositing & can easily extend this to other object editing tasks, such as material swapping. arxiv.org/abs/2410.08168

@jflalonde.bsky.social · 2y ago

What better way to kickstart my bluesky account than to advertise for my student's WACV papers! Don't miss ZeroComp, where we use diffusion models as neural renderers that achieve image compositing in a zero-shot fashion: lvsn.github.io/ZeroComp/. With the great @anandbhattad.bsky.social

LumiNet is going to be at #CVPR2025! Excited about this work—fully data-driven, with zero reliance on computer graphics datasets. It builds upon our previous works—StyLitGAN provided the training data, while Latent Intrinsics abstracted lighting and albedo for diffusion models. And more to come! 🤓

Anand Bhattad@anandbhattad.bsky.social · 2y ago

I'm super stoked to share LumiNet! 🎉 💡LumiNet combines latent intrinsic representations with a powerful generative image model. It lets us relight complex indoor images by transferring lighting from one image to another. It is completely data-driven: no labels, mark-up, not even depth or normals.

Really excited to put together this #CVPR2025 workshop on "4D Vision: Modeling the Dynamic World" -- one of the most fascinating areas in computer vision today! We've invited incredible researchers who are leading fantastic work at various related fields. 4dvisionworkshop.github.io

New paper about pictures: I identify trends in geometric perspective in my own drawings and photos, and compare them to how the original scenes looked. I discuss what these trends might say about art history and vision science. Published in _Art & Perception_. #visionscience psyarxiv.com/pq8nb

Encouraging to see a civilized & thoughtful discussion on a few papers in my AC batch. We need more reviewers like this! Also chasing down a few reviewers to update their justification beyond 'my concerns were not addressed in the rebuttal, so I’ll maintain my original score.' 😅 #CVPR2025

Not a big fan of Borderline ratings in the review process. They offer an easy way for reviewers to be non-committal—or even lazy. I’ve never liked this, as it rarely adds value. Clear, decisive ratings with concrete justifications of a paper’s contributions are far more constructive. #CVPR2025

It's great to see renewed interest in Barrow and Tenenbaum's seminal 1978 work on "Intrinsic Images." This foundational paper has significantly influenced the field, even though it has historically received fewer citations than it deserves.