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Pulse · marktechpost.com

marktechpost.com · Nov 14

Stanford Research Open-Sources Memorilla, a Latent Memory Module for Frozen LLMs

Pulse · techtimes.com

techtimes.com · Nov 14

Baidu Pledges Apache License for ERNIE 5.5 AI Weights Due This Month; Base Model Bars EU, UK

ERNIE 5.5 open weights face an unsettled license: Baidu’s product page pledges Apache 2.0 for the Preview model, yet its release names no license and sets a Nov. 25 deadline, while the Base model bars the EU, UK and South Korea. Developers also weigh Chinese state-access law and unverified Token

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arXiv

Nov 12

Back to Pixels: Lifting Latent Video Diffusion into Pixel Space

Frontier video generation models work in a VAE latent space that compresses video in both space and time. This compression made training tractable, but now limits high-resolution, controllable, and interactive generation -- doubling resolution quadruples token count, conditions apply to groups of frames rather than individual ones, and each response must wait for the rest of its multi-frame block. We present PixVid, a simple yet effective method that lifts a pretrained latent video model to directly generate every frame in pixel space. PixVid keeps the diffusion transformer and replaces the VAE decoder with a convolutional head that renders its outputs into pixels. We find that predicting clean video rather than velocity, together with a larger noise shift, is key to quality. Finetuned from Wan2.1-14B, PixVid is competitive with the latent baseline within $\sim 1.3$M training clips. Working framewise in pixels, it generates at $2\times$ higher resolution with the same per-frame token count, keeps depth-conditioned video editing aligned under fast motion, and responds to each action at the next frame. Project page: https://chenshuo20.github.io/PixVid/

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arXiv

Nov 8

SurgWorld: Learning Surgical Representations Beyond Observation via Latent Prediction

Surgical procedures are inherently partially observable, requiring surgeons to continuously infer evolving anatomical dynamics and future surgical states beyond the current observation. However, existing self-supervised learning methods primarily learn from observed surgical…

GitHub

Nov 8

wanshuiyin/SuperARIS

SuperARIS — Your personal research agent with ARIS (Auto Research In Sleep), powered by a team of agents.

Graphene: A Lightweight Transformer with Ising Mean-Field Refinement for Image Super-Resolution

This paper proposes Graphene, a lightweight image super-resolution architecture with two complementary feature refinement mechanisms: Ising-model-inspired local feature refinement using an Ising Refinement Block (IRB) and stage-history-based feature refinement using a History…

arXiv

Nov 8

From Game Generation to Game Playing: Fully Automated Ability Training for Vision-Language-Action Models

Training vision-language-action (VLA) models to follow gameplay instructions across diverse games is limited by the cost of collecting demonstrations. We introduce a framework that automatically generates game environments and expert demonstrations. An LLM-powered agent uses…

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