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EasyV2V: A High-quality Instruction-based Video Editing Framework

Intermediate
Jinjie Mai, Chaoyang Wang et al.Dec 18arXiv

EasyV2V is a simple but powerful system that edits videos by following plain-language instructions like “make the shirt blue starting at 2 seconds.”

#instruction-based video editing#spatiotemporal mask#text-to-video fine-tuning

Not triaged yet

Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification

Intermediate
Qihao Liu, Chengzhi Mao et al.Dec 18arXiv

AuditDM is a friendly 'auditor' model that hunts for where vision-language models get things wrong and then creates the right practice to fix them.

#AuditDM#model auditing#cross-model divergence

Not triaged yet

AdaTooler-V: Adaptive Tool-Use for Images and Videos

Intermediate
Chaoyang Wang, Kaituo Feng et al.Dec 18arXiv

AdaTooler-V teaches an image-and-video AI to first ask, “Do I really need a tool?” before using one, which saves time and boosts accuracy.

#adaptive tool-use#multimodal chain-of-thought#visual tool interactions

Not triaged yet

StereoPilot: Learning Unified and Efficient Stereo Conversion via Generative Priors

Intermediate
Guibao Shen, Yihua Du et al.Dec 18arXiv

StereoPilot is a new AI that turns regular 2D videos into 3D (stereo) videos quickly and with high quality.

#stereo video conversion#monocular-to-stereo#depth ambiguity

Not triaged yet

Depth Any Panoramas: A Foundation Model for Panoramic Depth Estimation

Intermediate
Xin Lin, Meixi Song et al.Dec 18arXiv

This paper builds a foundation model called DAP that estimates real-world (metric) depth from any 360° panorama, indoors or outdoors.

#panoramic depth estimation#metric depth#360-degree vision

Not triaged yet

Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward

Intermediate
Peter Chen, Xiaopeng Li et al.Dec 18arXiv

The paper studies why two opposite-sounding tricks in RL for reasoning—adding random (spurious) rewards and reducing randomness (entropy)—can both seem to help large language models think better.

#RLVR#Group Relative Policy Optimization#ratio clipping

Not triaged yet

A Benchmark and Agentic Framework for Omni-Modal Reasoning and Tool Use in Long Videos

Intermediate
Mohammed Irfan Kurpath, Jaseel Muhammad Kaithakkodan et al.Dec 18arXiv

This paper builds a new test, LongShOTBench, to check if AI can truly understand long videos by using sight, speech, and sounds together.

#long-form video understanding#multimodal reasoning#audio-visual-speech alignment

Not triaged yet

Animate Any Character in Any World

Intermediate
Yitong Wang, Fangyun Wei et al.Dec 18arXiv

AniX is a system that lets you place any character into any 3D world and control them with plain language, like “run forward” or “play a guitar.”

#AniX#3D Gaussian Splatting#world models

Not triaged yet

Alchemist: Unlocking Efficiency in Text-to-Image Model Training via Meta-Gradient Data Selection

Intermediate
Kaixin Ding, Yang Zhou et al.Dec 18arXiv

Alchemist is a smart data picker for training text-to-image models that learns which pictures and captions actually help the model improve.

#meta-gradient#data selection#text-to-image

Not triaged yet

FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction

Intermediate
Shuyuan Tu, Yueming Pan et al.Dec 18arXiv

FlashPortrait makes talking-portrait videos that keep a person’s identity steady for as long as you want—minutes or even hours.

#FlashPortrait#portrait animation#identity consistency

Not triaged yet

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image

Intermediate
Yushi Hu, Reyhane Askari-Hemmat et al.Dec 18arXiv

Reward models are like scorekeepers that tell AI which answers people like more, and this paper builds the first big test for scorekeepers that judge both pictures and words together.

#Multimodal reward model#Benchmarking omni models#Interleaved text-image evaluation

Not triaged yet

RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing

Intermediate
Tianyuan Qu, Lei Ke et al.Dec 18arXiv

RePlan is a plan-then-execute system that first figures out exactly where to edit in a picture and then makes clean changes there.

#instruction-based image editing#vision–language model (VLM)#diffusion model

Not triaged yet

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