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Valentin Wagner

@valentinwagner.bsky.social

3D Reconstruction / Earth Observation / Researcher @ Fraunhofer IOSB (Germany) / PHD Student @ KIT

664 Followers  |  692 Following  |  5 Posts  |  Joined: 13.11.2024  |  2.2969

Latest posts by valentinwagner.bsky.social on Bluesky

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Super excited to introduce

✨ AnyUp: Universal Feature Upsampling πŸ”Ž

Upsample any feature - really any feature - with the same upsampler, no need for cumbersome retraining.
SOTA feature upsampling results while being feature-agnostic at inference time.

🌐 wimmerth.github.io/anyup/

16.10.2025 09:06 β€” πŸ‘ 25    πŸ” 5    πŸ’¬ 1    πŸ“Œ 2
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The #ICCV2025 main conference open access proceedings is up:

openaccess.thecvf.com/ICCV2025

Workshop papers will be posted shortly. Aloha!

14.10.2025 19:42 β€” πŸ‘ 24    πŸ” 9    πŸ’¬ 0    πŸ“Œ 0
Andrej Karpathy & @karpathy
X.com
Excited to release new repo: nanochat! (it's among the most unhinged I've written).
Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web Ul.
It weighs ~8,000 lines of imo quite clean code to:
- Train the tokenizer using a new Rust implementation
- Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics
- Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use.
- SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval)
- RL the model optionally on GSM8K with
IPDDOI

Andrej Karpathy & @karpathy X.com Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web Ul. It weighs ~8,000 lines of imo quite clean code to: - Train the tokenizer using a new Rust implementation - Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics - Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use. - SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval) - RL the model optionally on GSM8K with IPDDOI

- RL the model optionally on GSM8K with
"GRPO"
- Efficient inference the model in an Engine with
KV cache, simple prefill/ decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUl.
- Write a single markdown report card, summarizing and gamifying the whole thing.
Even for as low as ~$100 in cost (~4 hours on an
8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions.
About ~12 hours surpasses GPT-2 CORE metric.
As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and
70s on ARC-Easy, 20s on GSM8K, etc.
My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow

- RL the model optionally on GSM8K with "GRPO" - Efficient inference the model in an Engine with KV cache, simple prefill/ decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUl. - Write a single markdown report card, summarizing and gamifying the whole thing. Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc. My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow

developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved.
Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.
nanochat

developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved. Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply. nanochat

Karpathy: nanochat

A small training+inference pipeline for creating your own LLM from scratch

$100 will get you a somewhat functional model

$1000 is more coherent & solves math

detailed walkthrough: github.com/karpathy/nan...

repo: github.com/karpathy/nan...

13.10.2025 18:05 β€” πŸ‘ 93    πŸ” 20    πŸ’¬ 3    πŸ“Œ 2
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Working on representation learning for Earth Observation?
Come join the discussion at the EurIPS workshop "REO: Advances in Representation Learning for Earth Observation"

Call for papers deadline: October 15, AoE
Workshop site: sites.google.com/view/reoeurips

@euripsconf.bsky.social @esa.int

09.10.2025 12:32 β€” πŸ‘ 7    πŸ” 4    πŸ’¬ 0    πŸ“Œ 1
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🐝 The #3DV2026 Nectar Track is open for submissions!
1️⃣ Spotlight Track: Showcase your strong paper from recent venues with an oral presentation + poster.
2️⃣ Exploration Edge Track: Present preliminary ideas, research hurdles, or demos in a poster session.
More details: ⬇️

30.09.2025 01:37 β€” πŸ‘ 3    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
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This marks the kick-off of our #CVPR2026 coverage! I’m @csprofkgd.bsky.social, and more publicity chairs will be joining in soon.

The key #CVPR2026 dates are now posted. One highlight: the supplementary materials deadline comes a full week AFTER the main paper deadline.

28.09.2025 22:54 β€” πŸ‘ 15    πŸ” 7    πŸ’¬ 1    πŸ“Œ 0
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MapAnything: Universal Feed-Forward Metric 3D Reconstruction

@nikv9.bsky.social et al.

tl;dr: flexible input & metric output version of VGGT

arxiv.org/abs/2509.13414

18.09.2025 10:57 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0

Great to see more initiatives to bring conferences/events to Europe πŸ‡ͺπŸ‡Ί. Reducing unnecessary co2 emissions caused by long-distance flights and simultaneously strengthening europe as research location.

17.07.2025 07:34 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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#ICML2025 test of time award

15.07.2025 02:06 β€” πŸ‘ 27    πŸ” 3    πŸ’¬ 0    πŸ“Œ 3
from gremllm import Gremllm

# Be sure to tell your gremllm what sort of thing it is
counter = Gremllm('counter')
counter.value = 5
counter.increment()
print(counter.value)  # 6?
print(counter.to_roman_numerals()) # VI?

from gremllm import Gremllm # Be sure to tell your gremllm what sort of thing it is counter = Gremllm('counter') counter.value = 5 counter.increment() print(counter.value) # 6? print(counter.to_roman_numerals()) # VI?

The is diabolical... a Python object that hallucinates method implementations on demand any time you call them, using my LLM Python library github.com/awwaiid/grem...

04.07.2025 17:39 β€” πŸ‘ 222    πŸ” 37    πŸ’¬ 12    πŸ“Œ 13
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We just released COLMAP v3.12, which adds long-awaited, end-to-end support for multi-camera rigs and 360Β° panoramas πŸ‘€ COLMAP just got better at handling your robotics, AR/VR, or 360 data - try it yourself and let us know! github.com/colmap/colma... Kudos to Johannes & team for this great work πŸš€

01.07.2025 16:33 β€” πŸ‘ 22    πŸ” 6    πŸ’¬ 1    πŸ“Œ 0
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#CVPR2025 paper statistics

13.06.2025 14:16 β€” πŸ‘ 6    πŸ” 3    πŸ’¬ 2    πŸ“Œ 0
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The #CVPR2025 main conference open access proceedings is up:

openaccess.thecvf.com/CVPR2025

Workshop papers will be posted shortly. Stay tuned...

03.06.2025 14:45 β€” πŸ‘ 32    πŸ” 14    πŸ’¬ 0    πŸ“Œ 1
A screenshot of the important dates for the WACV2026 submission process.

A screenshot of the important dates for the WACV2026 submission process.

The #WACV2026 Call for Papers is live at wacv.thecvf.com/Conferences/...! First round paper registration is coming up on July 11th, with the submission deadline on July 18th (all deadlines are 23:59 AoE).

27.05.2025 17:40 β€” πŸ‘ 10    πŸ” 7    πŸ’¬ 0    πŸ“Œ 0
Camera Calibration and Pose Estimation (CALIPOSE) Workshop Information When: October 19th or 20th, 2025 Where: Honolulu, Hawai'i, ICCV 2025 Time: TBD Preliminary Schedule Opening [all organizers, 5 mins] Invited Talk I: Richard Hartley [30 mins] Inv...

Working on camera calibration or camera pose estimation? Want to finally know how calibrations and poses are obtained for the data you ae using?
Come join us at the CALIPOSE workshop at @iccv.bsky.social

Details are on the workshop website: sites.google.com/view/calipos...

27.05.2025 11:43 β€” πŸ‘ 26    πŸ” 10    πŸ’¬ 2    πŸ“Œ 1
Heat-map style graphic of Arctic sea ice extent anomalies for every day from 1 January 1979 through 31 December 2024. Blue shading is shown for greater sea ice, and red shading is shown for less sea ice. The baseline is 1981 to 2010. The graphic is in units of million square kilometers from -3 to +3. Data from NSIDC.

Heat-map style graphic of Arctic sea ice extent anomalies for every day from 1 January 1979 through 31 December 2024. Blue shading is shown for greater sea ice, and red shading is shown for less sea ice. The baseline is 1981 to 2010. The graphic is in units of million square kilometers from -3 to +3. Data from NSIDC.

Mosaic of daily #Arctic sea-ice extent anomalies over the last four decades or so. Another way of visualizing the long-term trend.

Graphic from zacklabe.com/arctic-sea-i...

18.05.2025 23:13 β€” πŸ‘ 91    πŸ” 27    πŸ’¬ 1    πŸ“Œ 1
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πŸš€Join the π’πœπšπ§ππžπ­++ π‚π‘πšπ₯π₯𝐞𝐧𝐠𝐞 @ CVPR 2025!
Think your method can handle large-scale 3D scenes?
Put it to the test:
kaldir.vc.in.tum.de/scannetpp/cv...

Updates:
βœ… Preprocessed, undistorted DSLR images
βœ… 3DGS demo: github.com/scannetpp/3D...

by Yueh-Cheng Liu, @cyeshwanth.bsky.social

01.05.2025 12:16 β€” πŸ‘ 12    πŸ” 4    πŸ’¬ 1    πŸ“Œ 0

Great thread about the evolution of radiance fields!

26.04.2025 17:04 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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🌍 Guessing where an image was taken is a hard, and often ambiguous problem. Introducing diffusion-based geolocationβ€”we predict global locations by refining random guesses into trajectories across the Earth's surface!

πŸ—ΊοΈ Paper, code, and demo: nicolas-dufour.github.io/plonk

10.12.2024 15:56 β€” πŸ‘ 96    πŸ” 32    πŸ’¬ 8    πŸ“Œ 5
Announcing the Test of Time Award Winners from ICLR 2015 – ICLR Blog

Announcing the Test of Time awards for ICLR 2025! This award recognizes papers published ten years ago at ICLR 2015 that have had a lasting impact on the field. Congratulations to the authors!

blog.iclr.cc/2025/04/14/a...

15.04.2025 03:39 β€” πŸ‘ 39    πŸ” 5    πŸ’¬ 1    πŸ“Œ 1

Great tool to keep up to date with papers and for finding related works πŸ“š

14.04.2025 12:05 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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πŸ’»We've released the code for our #CVPR2025 paper MAtCha!

🍡MAtCha reconstructs sharp, accurate and scalable meshes of both foreground AND background from just a few unposed images (eg 3 to 10 images)...

...While also working with dense-view datasets (hundreds of images)!

03.04.2025 10:33 β€” πŸ‘ 40    πŸ” 16    πŸ’¬ 4    πŸ“Œ 1
Image Matching Challenge 2025 Reconstruct 3D scenes from messy image collections.

#IMC2025 @cvprconference.bsky.social challenge is online!
This year:
- back to collection_mapping: directory with many (similar) scenes->your job to SfM & cluster them
- a bit more of training set
- no transparent objects

$50000 prize fund
Deadline: June 2
www.kaggle.com/competitions...
#IMW2025

01.04.2025 21:02 β€” πŸ‘ 21    πŸ” 10    πŸ’¬ 1    πŸ“Œ 1
Preview
a yellow padlock with a smiling face on it ALT: a yellow padlock with a smiling face on it

ACHIEVEMENT UNLOCKED: We have a NEW bold number for total submissions! This year #ICCV2025 has 11239 submissions in review πŸ˜…

The previous record was 8088 at #ICCV2023.

28.03.2025 12:43 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
Preview
Inside arXivβ€”the Most Transformative Platform in All of Science Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.

Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.

27.03.2025 10:04 β€” πŸ‘ 735    πŸ” 209    πŸ’¬ 9    πŸ“Œ 28

Enjoying your first day at #3DV2025 but wondering where to find the PDF for the papers you like? We got you!

We just updated the website and now you can find the PDF link on OpenReview for every paper at 3dvconf.github.io/2025/accepte...

25.03.2025 07:03 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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1) Open up image

2) Search around the middle

3) Find the small, bright dot just left of centre

4) Congratulations! You've found the Curiosity rover on Mars, imaged from orbit.

16.02.2025 21:45 β€” πŸ‘ 442    πŸ” 108    πŸ’¬ 12    πŸ“Œ 6
Line graph time series of 2025's daily Arctic sea ice extent compared to decadal averages from the 1980s to the 2010s. The decadal averages are shown with different colored lines with purple for the 1980s, blue for the 1990s, green for the 2000s, and white for the 2010s. Thin white lines are also shown for each year from 2000 to 2024. 2025 is shown with a thick gold line. There is a long-term decreasing trend in ice extent for every day of the year shown on this graph between January and April by looking at the decadal average line positions.

Line graph time series of 2025's daily Arctic sea ice extent compared to decadal averages from the 1980s to the 2010s. The decadal averages are shown with different colored lines with purple for the 1980s, blue for the 1990s, green for the 2000s, and white for the 2010s. Thin white lines are also shown for each year from 2000 to 2024. 2025 is shown with a thick gold line. There is a long-term decreasing trend in ice extent for every day of the year shown on this graph between January and April by looking at the decadal average line positions.

Monday ice update - #Arctic sea ice extent is currently the *lowest* on record (JAXA data)

β€’ about 780,000 kmΒ² below the 2010s mean
β€’ about 1,450,000 kmΒ² below the 2000s mean
β€’ about 2,010,000 kmΒ² below the 1990s mean
β€’ about 2,370,000 kmΒ² below the 1980s mean

Plots: zacklabe.com/arctic-sea-i... πŸ§ͺ

10.02.2025 13:02 β€” πŸ‘ 218    πŸ” 97    πŸ’¬ 5    πŸ“Œ 10
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January 2025 was the warmest January ever recorded. Last month was 1.75Β°C above the pre-industrial level and 0.79Β°C above the 1991-2020 average. The persistence of high temperatures underscores significant climate trends.

Read the full #C3S Climate Bulletins: bit.ly/3EBUTD1

06.02.2025 09:14 β€” πŸ‘ 103    πŸ” 64    πŸ’¬ 1    πŸ“Œ 23

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