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jaskirat singh jaskirat singh brainhub jaskirat singh home blog misc publications cv about me i am a final year ph d student in the college of engineering and computer science cecs at the australian national university where i am supervised by prof liang zheng and prof stephen gould i am currently a research intern at adobe research working with dr eli shechtman and dr richard zhang on developing better representations for generation i was also an intern in the imagine core team at meta genai under prof michael cohen working on subject consistent multiple shot video generation ph d research interests controllable image synthesis and editing creative content generation subject consistent visual storytelling long form video generation i also spent four beautiful summers interning at adobe research working with dr zhe lin and dr jianming zhang as well as dr eli shechtman and dr richard zhang prior to that i had graduated from masters of machine learning and computer vision with top honours from australian national university even earlier i was worked as machine learning research engineer at yahoo japan i received my bachelors in electrical engineering with specialization in intelligent and cognitive systems from iit delhi news may 2026 introducing raev2 improved baselines with representation autoencoders over 10x faster convergence with better reconstruction and generation april 2026 irepa accepted to iclr 2026 dec 2025 introducing irepa what matters for representation alignment global information or spatial structure oct 2025 introducing repa e t2i family of end to end trained latent diffusion models for text to image generation with 5x faster training july 2025 introducing deepswe preview a reasoning enabled coding agent achieving 59 0 on swe bench verified with test time scaling setting new sota for open weight coding agents july 2025 r2e gym accepted to colm 2025 top 5 papers and neurips workshop 2025 april 2025 released r2e gym achieved 51 success rate on swe bench setting new sota for open weight swe agents april 2025 released repa e enabling stable end to end training of latent diffusion transformers with sota generation performance and 45x accelerated training april 2025 repa e accepted to iccv 2025 ️ see you in hawaii march 2025 1 paper accepted to cvpr 2025 jan 2025 three papers 1 oral and 2 poster accepted at iclr 2025 may 2024 started internship at meta genai working on subject consistent video generation selected publications improved baselines with representation autoencoders jaskirat singh boyang zheng zongze wu richard zhang eli shechtman saining xie 1 adobe research 2 australian national university 3 new york university over 10x faster convergence with better reconstruction generation and improved t2i and world model performance paper code project website models what matters for representation alignment global information or spatial structure jaskirat singh xingjian leng zongze wu liang zheng richard zhang eli shechtman saining xie 1 adobe research 2 australian national university 3 new york university iclr 2026 paper code project website models repa e t2i family of end to end trained latent diffusion models for text to image generation repa e team xingjian leng jaskirat singh yunzhong hou zhenchang xing saining xie liang zheng canva team ryan murdock ethan smith rebecca li project lead equal contribution 1 australian national university 2 data61 csiro 3 new york university 4 canva 5x faster t2i training without additional representation alignment loss paper code project website models deepswe preview training a fully open sourced state of the art coding agent by scaling rl agentica michael luo jaskirat singh naman jain sijun tan colin cai tarun venkat manan roongta li erran li raluca ada popa koushik sen ion stoica together ai ameen patel qingyang wu alpay ariyak shang zhu ben athiwaratkun ce zhang 1 uc berkeley 2 together ai sota reasoning enabled coding agent using only rl achieves open weight sota 59 0 on swe bench verified 42 2 pass 1 71 0 pass 16 project page code model dataset eval logs r2e gym procedural environment generation and hybrid verifiers for scaling open weights swe agents naman jain jaskirat singh manish shetty liang zheng koushik sen ion stoica equal contribution 1 uc berkeley 2 australian national university colm 2025 top 5 papers neurips workshop 2025 paper code project website data models repa e unlocking vae for end to end tuning of latent diffusion transformers xingjian leng jaskirat singh yunzhong hou zhenchang xing saining xie liang zheng project lead equal contribution 1 australian national university 2 data61 csiro 3 new york university iccv 2025 paper code project website models negative token merging image based adversarial feature guidance jaskirat singh lindsey li weijia shi ranjay krishna yejin choi pang wei koh michael f cohen stephen gould liang zheng luke zettlemoyer 1 university of washington 2 allen institute for ai 3 australian national university image based classifier free guidance instead of text to improve output diversity quality control in just few lines of code paper code project website huggingface demo opendevin an open platform for ai software developers as generalist agents best llm agent swe bench lite swe bench verified iclr 2025 oral paper code project website storybooth training free multi subject consistency for improved visual storytelling jaskirat singh junshen kevin chen jonas kohler michael cohen 1 meta genai 2 australian national university iclr 2025 paper vec2face scaling face dataset generation with loosely constrained vectors haiyu wu jaskirat singh sicong tian liang zheng kevin bowyer iclr 2025 paper code project website smartmask context aware high fidelity mask generation for fine grained object insertion and layout control jaskirat singh jianming zhang qing liu cameron smith zhe lin liang zheng 1 adobe research 2 australian national university cvpr 2024 us patent paper project website divide evaluate and refine evaluating and improving text to image alignment with iterative vqa feedback jaskirat singh and liang zheng neurips 2023 paper code project website impus image morphing with perceptually uniform sampling using diffusion models iclr 2024 paper code high fidelity guided image synthesis with latent diffusion models jaskirat singh stephen gould and liang zheng cvpr 2023 paper code project website paint2pix interactive painting based progressive image synthesis and editing jaskirat singh liang zheng cameron smith jose echevarria 1 adobe research 2 australian national university eccv 2022 paper code project website intelli paint towards developing more human intelligible painting agents jaskirat singh cameron smith jose echevarria liang zheng 1 adobe research 2 australian national university eccv 2022 us patent paper project website combining semantic guidance and deep reinforcement learning for generating human level paintings jaskirat singh and liang zheng cvpr 2021 paper code enhanced scene specificity with sparse dynamic value estimation jaskirat singh and liang zheng arxiv paper dynamic value estimation for single task multi scene reinforcement learning jaskirat singh and liang zheng arxiv paper advisors prof liang zheng associate professor ️ australian national university prof stephen gould senior professor ️ anu amazon research prof marcus hutter senior research scientist ️ google deepmind dr jianming zhang principal research scientist ️ adobe research dr zhe lin senior principal research scientist ️ adobe research dr eli shechtman senior principal research scientist ️ adobe research dr richard zhang principal research scientist ️ adobe research prof saining xie assistant professor ️ new york university prof michael cohen director of computational photography ️ meta genai